Data profiling before data preparation(1.01)

Dataset statistics

Number of variables	137
Number of observations	36259
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	37.9 MiB
Average record size in memory	1.1 KiB

Variable types

Numeric	58
Categorical	79

Alerts

`SEQN` is highly correlated with `household_smokers`	High correlation
`asthma` is highly correlated with `asthma_onset` and 1 other fields	High correlation
`asthma_onset` is highly correlated with `asthma` and 1 other fields	High correlation
`asthma_currently` is highly correlated with `asthma` and 1 other fields	High correlation
`ever_overweight` is highly correlated with `BMI`	High correlation
`arthritis` is highly correlated with `arthritis_onset` and 1 other fields	High correlation
`heart_failure` is highly correlated with `heart_failure_onset`	High correlation
`heart_disease` is highly correlated with `heart_disease_onset`	High correlation
`angina` is highly correlated with `angina_onset`	High correlation
`heart_attack` is highly correlated with `heart_attack_onset`	High correlation
`stroke` is highly correlated with `stroke_onset` and 1 other fields	High correlation
`emphysema` is highly correlated with `emphysema_onset`	High correlation
`bronchitis` is highly correlated with `bronchitis_currently` and 1 other fields	High correlation
`liver_condition` is highly correlated with `liver_condition_currently` and 1 other fields	High correlation
`thyroid_problem` is highly correlated with `thyroid_problem_currently` and 1 other fields	High correlation
`bronchitis_currently` is highly correlated with `bronchitis` and 1 other fields	High correlation
`liver_condition_currently` is highly correlated with `liver_condition` and 1 other fields	High correlation
`thyroid_problem_currently` is highly correlated with `thyroid_problem` and 1 other fields	High correlation
`cancer` is highly correlated with `first_cancer_count`	High correlation
`arthritis_onset` is highly correlated with `arthritis` and 1 other fields	High correlation
`heart_failure_onset` is highly correlated with `heart_failure`	High correlation
`heart_disease_onset` is highly correlated with `heart_disease`	High correlation
`angina_onset` is highly correlated with `angina`	High correlation
`heart_attack_onset` is highly correlated with `heart_attack`	High correlation
`stroke_onset` is highly correlated with `stroke` and 1 other fields	High correlation
`emphysema_onset` is highly correlated with `emphysema`	High correlation
`bronchitis_onset` is highly correlated with `bronchitis` and 1 other fields	High correlation
`liver_condition_onset` is highly correlated with `liver_condition` and 1 other fields	High correlation
`thyroid_problem_onset` is highly correlated with `thyroid_problem` and 1 other fields	High correlation
`first_cancer_count` is highly correlated with `cancer`	High correlation
`weight` is highly correlated with `BMI`	High correlation
`BMI` is highly correlated with `ever_overweight` and 1 other fields	High correlation
`systolic` is highly correlated with `diastolic`	High correlation
`diastolic` is highly correlated with `systolic`	High correlation
`albumin` is highly correlated with `calcium` and 11 other fields	High correlation
`ALT` is highly correlated with `AST`	High correlation
`AST` is highly correlated with `ALT`	High correlation
`ALP` is highly correlated with `calcium` and 6 other fields	High correlation
`BUN` is highly correlated with `creatinine` and 2 other fields	High correlation
`calcium` is highly correlated with `albumin` and 12 other fields	High correlation
`CO2` is highly correlated with `albumin` and 10 other fields	High correlation
`creatinine` is highly correlated with `BUN`	High correlation
`glucose` is highly correlated with `calcium` and 3 other fields	High correlation
`iron` is highly correlated with `albumin`	High correlation
`LHD` is highly correlated with `albumin` and 10 other fields	High correlation
`phosphorus` is highly correlated with `albumin` and 10 other fields	High correlation
`total_protein` is highly correlated with `albumin` and 11 other fields	High correlation
`uric_acid` is highly correlated with `albumin` and 11 other fields	High correlation
`sodium` is highly correlated with `albumin` and 12 other fields	High correlation
`potassium` is highly correlated with `albumin` and 13 other fields	High correlation
`chloride` is highly correlated with `albumin` and 11 other fields	High correlation
`osmolality` is highly correlated with `albumin` and 12 other fields	High correlation
`globulin` is highly correlated with `albumin` and 11 other fields	High correlation
`cant_work` is highly correlated with `limited_work`	High correlation
`limited_work` is highly correlated with `cant_work`	High correlation
`walking_equipment` is highly correlated with `healthcare_equipment`	High correlation
`healthcare_equipment` is highly correlated with `walking_equipment`	High correlation
`health_problem_Arthritis` is highly correlated with `arthritis` and 1 other fields	High correlation
`health_problem_Stroke` is highly correlated with `stroke` and 1 other fields	High correlation
`cocaine_use` is highly correlated with `cocaine_number_uses` and 1 other fields	High correlation
`cocaine_number_uses` is highly correlated with `cocaine_use` and 2 other fields	High correlation
`heroine_use` is highly correlated with `inject_drugs`	High correlation
`meth_use` is highly correlated with `cocaine_use` and 2 other fields	High correlation
`meth_number_uses` is highly correlated with `cocaine_number_uses` and 1 other fields	High correlation
`inject_drugs` is highly correlated with `heroine_use`	High correlation
`start_smoking_age` is highly correlated with `current_smoker`	High correlation
`current_smoker` is highly correlated with `start_smoking_age` and 1 other fields	High correlation
`previous_cigarettes_per_day` is highly correlated with `days_quit_smoking`	High correlation
`current_cigarettes_per_day` is highly correlated with `current_smoker`	High correlation
`days_quit_smoking` is highly correlated with `previous_cigarettes_per_day`	High correlation
`household_smokers` is highly correlated with `SEQN`	High correlation
`SEQN` is highly correlated with `household_smokers`	High correlation
`gender` is highly correlated with `height` and 1 other fields	High correlation
`asthma` is highly correlated with `asthma_onset` and 1 other fields	High correlation
`asthma_onset` is highly correlated with `asthma` and 1 other fields	High correlation
`asthma_currently` is highly correlated with `asthma` and 1 other fields	High correlation
`ever_overweight` is highly correlated with `BMI`	High correlation
`arthritis` is highly correlated with `arthritis_onset` and 1 other fields	High correlation
`heart_failure` is highly correlated with `heart_failure_onset`	High correlation
`heart_disease` is highly correlated with `heart_disease_onset`	High correlation
`angina` is highly correlated with `angina_onset`	High correlation
`heart_attack` is highly correlated with `heart_attack_onset`	High correlation
`stroke` is highly correlated with `stroke_onset` and 1 other fields	High correlation
`emphysema` is highly correlated with `emphysema_onset`	High correlation
`bronchitis` is highly correlated with `bronchitis_currently` and 1 other fields	High correlation
`liver_condition` is highly correlated with `liver_condition_currently` and 1 other fields	High correlation
`thyroid_problem` is highly correlated with `thyroid_problem_currently` and 1 other fields	High correlation
`bronchitis_currently` is highly correlated with `bronchitis` and 1 other fields	High correlation
`liver_condition_currently` is highly correlated with `liver_condition` and 1 other fields	High correlation
`thyroid_problem_currently` is highly correlated with `thyroid_problem` and 1 other fields	High correlation
`cancer` is highly correlated with `first_cancer_count`	High correlation
`arthritis_onset` is highly correlated with `arthritis` and 1 other fields	High correlation
`heart_failure_onset` is highly correlated with `heart_failure`	High correlation
`heart_disease_onset` is highly correlated with `heart_disease`	High correlation
`angina_onset` is highly correlated with `angina`	High correlation
`heart_attack_onset` is highly correlated with `heart_attack`	High correlation
`stroke_onset` is highly correlated with `stroke` and 1 other fields	High correlation
`emphysema_onset` is highly correlated with `emphysema`	High correlation
`bronchitis_onset` is highly correlated with `bronchitis` and 1 other fields	High correlation
`liver_condition_onset` is highly correlated with `liver_condition` and 1 other fields	High correlation
`thyroid_problem_onset` is highly correlated with `thyroid_problem` and 1 other fields	High correlation
`first_cancer_count` is highly correlated with `cancer`	High correlation
`weight` is highly correlated with `BMI`	High correlation
`height` is highly correlated with `gender`	High correlation
`BMI` is highly correlated with `ever_overweight` and 1 other fields	High correlation
`systolic` is highly correlated with `diastolic`	High correlation
`diastolic` is highly correlated with `systolic`	High correlation
`albumin` is highly correlated with `calcium` and 1 other fields	High correlation
`ALT` is highly correlated with `AST` and 1 other fields	High correlation
`AST` is highly correlated with `ALT`	High correlation
`BUN` is highly correlated with `creatinine` and 1 other fields	High correlation
`calcium` is highly correlated with `albumin`	High correlation
`creatinine` is highly correlated with `gender` and 2 other fields	High correlation
`GGT` is highly correlated with `ALT`	High correlation
`total_protein` is highly correlated with `albumin` and 1 other fields	High correlation
`uric_acid` is highly correlated with `creatinine`	High correlation
`sodium` is highly correlated with `osmolality`	High correlation
`osmolality` is highly correlated with `BUN` and 1 other fields	High correlation
`globulin` is highly correlated with `total_protein`	High correlation
`drinks_per_occasion` is highly correlated with `drinks_past_year`	High correlation
`drinks_past_year` is highly correlated with `drinks_per_occasion`	High correlation
`cant_work` is highly correlated with `limited_work`	High correlation
`limited_work` is highly correlated with `cant_work`	High correlation
`walking_equipment` is highly correlated with `healthcare_equipment`	High correlation
`healthcare_equipment` is highly correlated with `walking_equipment`	High correlation
`health_problem_Arthritis` is highly correlated with `arthritis` and 1 other fields	High correlation
`health_problem_Stroke` is highly correlated with `stroke` and 1 other fields	High correlation
`cocaine_use` is highly correlated with `cocaine_number_uses` and 2 other fields	High correlation
`cocaine_number_uses` is highly correlated with `cocaine_use` and 2 other fields	High correlation
`heroine_use` is highly correlated with `inject_drugs`	High correlation
`meth_use` is highly correlated with `cocaine_use` and 2 other fields	High correlation
`meth_number_uses` is highly correlated with `cocaine_use` and 2 other fields	High correlation
`inject_drugs` is highly correlated with `heroine_use`	High correlation
`start_smoking_age` is highly correlated with `current_smoker` and 2 other fields	High correlation
`current_smoker` is highly correlated with `start_smoking_age` and 1 other fields	High correlation
`previous_cigarettes_per_day` is highly correlated with `start_smoking_age` and 1 other fields	High correlation
`current_cigarettes_per_day` is highly correlated with `current_smoker`	High correlation
`days_quit_smoking` is highly correlated with `start_smoking_age` and 1 other fields	High correlation
`household_smokers` is highly correlated with `SEQN`	High correlation
`SEQN` is highly correlated with `household_smokers`	High correlation
`gender` is highly correlated with `height`	High correlation
`asthma` is highly correlated with `asthma_onset` and 1 other fields	High correlation
`asthma_onset` is highly correlated with `asthma` and 1 other fields	High correlation
`asthma_currently` is highly correlated with `asthma` and 1 other fields	High correlation
`arthritis` is highly correlated with `arthritis_onset` and 1 other fields	High correlation
`heart_failure` is highly correlated with `heart_failure_onset`	High correlation
`heart_disease` is highly correlated with `heart_disease_onset`	High correlation
`angina` is highly correlated with `angina_onset`	High correlation
`heart_attack` is highly correlated with `heart_attack_onset`	High correlation
`stroke` is highly correlated with `stroke_onset` and 1 other fields	High correlation
`emphysema` is highly correlated with `emphysema_onset`	High correlation
`bronchitis` is highly correlated with `bronchitis_currently` and 1 other fields	High correlation
`liver_condition` is highly correlated with `liver_condition_currently` and 1 other fields	High correlation
`thyroid_problem` is highly correlated with `thyroid_problem_currently` and 1 other fields	High correlation
`bronchitis_currently` is highly correlated with `bronchitis` and 1 other fields	High correlation
`liver_condition_currently` is highly correlated with `liver_condition` and 1 other fields	High correlation
`thyroid_problem_currently` is highly correlated with `thyroid_problem` and 1 other fields	High correlation
`cancer` is highly correlated with `first_cancer_count`	High correlation
`arthritis_onset` is highly correlated with `arthritis` and 1 other fields	High correlation
`heart_failure_onset` is highly correlated with `heart_failure`	High correlation
`heart_disease_onset` is highly correlated with `heart_disease`	High correlation
`angina_onset` is highly correlated with `angina`	High correlation
`heart_attack_onset` is highly correlated with `heart_attack`	High correlation
`stroke_onset` is highly correlated with `stroke` and 1 other fields	High correlation
`emphysema_onset` is highly correlated with `emphysema`	High correlation
`bronchitis_onset` is highly correlated with `bronchitis` and 1 other fields	High correlation
`liver_condition_onset` is highly correlated with `liver_condition` and 1 other fields	High correlation
`thyroid_problem_onset` is highly correlated with `thyroid_problem` and 1 other fields	High correlation
`first_cancer_count` is highly correlated with `cancer`	High correlation
`weight` is highly correlated with `BMI`	High correlation
`height` is highly correlated with `gender`	High correlation
`BMI` is highly correlated with `weight`	High correlation
`ALT` is highly correlated with `AST`	High correlation
`AST` is highly correlated with `ALT`	High correlation
`total_protein` is highly correlated with `globulin`	High correlation
`sodium` is highly correlated with `osmolality`	High correlation
`osmolality` is highly correlated with `sodium`	High correlation
`globulin` is highly correlated with `total_protein`	High correlation
`drinks_per_occasion` is highly correlated with `drinks_past_year`	High correlation
`drinks_past_year` is highly correlated with `drinks_per_occasion`	High correlation
`cant_work` is highly correlated with `limited_work`	High correlation
`limited_work` is highly correlated with `cant_work`	High correlation
`walking_equipment` is highly correlated with `healthcare_equipment`	High correlation
`healthcare_equipment` is highly correlated with `walking_equipment`	High correlation
`health_problem_Arthritis` is highly correlated with `arthritis` and 1 other fields	High correlation
`health_problem_Stroke` is highly correlated with `stroke` and 1 other fields	High correlation
`cocaine_use` is highly correlated with `cocaine_number_uses` and 2 other fields	High correlation
`cocaine_number_uses` is highly correlated with `cocaine_use` and 2 other fields	High correlation
`heroine_use` is highly correlated with `inject_drugs`	High correlation
`meth_use` is highly correlated with `cocaine_use` and 2 other fields	High correlation
`meth_number_uses` is highly correlated with `cocaine_use` and 2 other fields	High correlation
`inject_drugs` is highly correlated with `heroine_use`	High correlation
`start_smoking_age` is highly correlated with `current_smoker`	High correlation
`current_smoker` is highly correlated with `start_smoking_age` and 1 other fields	High correlation
`previous_cigarettes_per_day` is highly correlated with `days_quit_smoking`	High correlation
`current_cigarettes_per_day` is highly correlated with `current_smoker`	High correlation
`days_quit_smoking` is highly correlated with `previous_cigarettes_per_day`	High correlation
`household_smokers` is highly correlated with `SEQN`	High correlation
`SEQN` is highly correlated with `lifetime_alcohol_consumption` and 1 other fields	High correlation
`gender` is highly correlated with `uric_acid`	High correlation
`age` is highly correlated with `marital_status` and 5 other fields	High correlation
`race` is highly correlated with `birth_place`	High correlation
`citizenship` is highly correlated with `birth_place`	High correlation
`education_level` is highly correlated with `marital_status`	High correlation
`marital_status` is highly correlated with `age` and 2 other fields	High correlation
`household_size` is highly correlated with `marital_status`	High correlation
`pregnant` is highly correlated with `age` and 1 other fields	High correlation
`birth_place` is highly correlated with `race` and 1 other fields	High correlation
`asthma` is highly correlated with `asthma_onset` and 1 other fields	High correlation
`asthma_onset` is highly correlated with `asthma` and 1 other fields	High correlation
`asthma_currently` is highly correlated with `asthma` and 3 other fields	High correlation
`asthma_emergency` is highly correlated with `asthma_currently`	High correlation
`ever_overweight` is highly correlated with `weight` and 1 other fields	High correlation
`arthritis` is highly correlated with `age` and 4 other fields	High correlation
`heart_failure` is highly correlated with `heart_attack` and 2 other fields	High correlation
`heart_disease` is highly correlated with `angina` and 4 other fields	High correlation
`angina` is highly correlated with `heart_disease` and 1 other fields	High correlation
`heart_attack` is highly correlated with `heart_failure` and 4 other fields	High correlation
`stroke` is highly correlated with `stroke_onset` and 1 other fields	High correlation
`emphysema` is highly correlated with `emphysema_onset`	High correlation
`bronchitis` is highly correlated with `bronchitis_currently` and 1 other fields	High correlation
`liver_condition` is highly correlated with `liver_condition_currently` and 1 other fields	High correlation
`thyroid_problem` is highly correlated with `thyroid_problem_currently` and 1 other fields	High correlation
`bronchitis_currently` is highly correlated with `bronchitis` and 1 other fields	High correlation
`liver_condition_currently` is highly correlated with `liver_condition` and 1 other fields	High correlation
`thyroid_problem_currently` is highly correlated with `thyroid_problem` and 1 other fields	High correlation
`cancer` is highly correlated with `first_cancer_type` and 1 other fields	High correlation
`first_cancer_type` is highly correlated with `cancer` and 2 other fields	High correlation
`second_cancer_type` is highly correlated with `first_cancer_type` and 3 other fields	High correlation
`third_cancer_type` is highly correlated with `second_cancer_type` and 3 other fields	High correlation
`fourth_cancer_count` is highly correlated with `third_cancer_type`	High correlation
`hay_fever` is highly correlated with `asthma_currently`	High correlation
`arthritis_onset` is highly correlated with `age` and 3 other fields	High correlation
`heart_failure_onset` is highly correlated with `heart_failure` and 4 other fields	High correlation
`heart_disease_onset` is highly correlated with `heart_disease` and 4 other fields	High correlation
`angina_onset` is highly correlated with `angina` and 3 other fields	High correlation
`heart_attack_onset` is highly correlated with `heart_disease` and 4 other fields	High correlation
`stroke_onset` is highly correlated with `stroke` and 1 other fields	High correlation
`emphysema_onset` is highly correlated with `emphysema`	High correlation
`bronchitis_onset` is highly correlated with `bronchitis` and 1 other fields	High correlation
`liver_condition_onset` is highly correlated with `liver_condition` and 1 other fields	High correlation
`thyroid_problem_onset` is highly correlated with `thyroid_problem` and 1 other fields	High correlation
`arthritis_type` is highly correlated with `arthritis` and 1 other fields	High correlation
`first_cancer_count` is highly correlated with `cancer` and 1 other fields	High correlation
`second_cancer_count` is highly correlated with `second_cancer_type`	High correlation
`third_cancer_count` is highly correlated with `second_cancer_type` and 1 other fields	High correlation
`weight` is highly correlated with `ever_overweight` and 2 other fields	High correlation
`height` is highly correlated with `weight` and 1 other fields	High correlation
`BMI` is highly correlated with `ever_overweight` and 2 other fields	High correlation
`pulse` is highly correlated with `systolic`	High correlation
`systolic` is highly correlated with `pulse` and 1 other fields	High correlation
`diastolic` is highly correlated with `systolic`	High correlation
`albumin` is highly correlated with `pregnant` and 10 other fields	High correlation
`ALT` is highly correlated with `AST`	High correlation
`AST` is highly correlated with `ALT` and 2 other fields	High correlation
`ALP` is highly correlated with `third_cancer_type`	High correlation
`BUN` is highly correlated with `creatinine` and 3 other fields	High correlation
`calcium` is highly correlated with `albumin` and 9 other fields	High correlation
`CO2` is highly correlated with `albumin` and 9 other fields	High correlation
`creatinine` is highly correlated with `BUN` and 1 other fields	High correlation
`GGT` is highly correlated with `AST`	High correlation
`glucose` is highly correlated with `phosphorus` and 5 other fields	High correlation
`iron` is highly correlated with `uric_acid` and 4 other fields	High correlation
`LHD` is highly correlated with `AST`	High correlation
`phosphorus` is highly correlated with `albumin` and 12 other fields	High correlation
`total_protein` is highly correlated with `albumin` and 9 other fields	High correlation
`uric_acid` is highly correlated with `gender` and 13 other fields	High correlation
`sodium` is highly correlated with `albumin` and 11 other fields	High correlation
`potassium` is highly correlated with `albumin` and 9 other fields	High correlation
`chloride` is highly correlated with `albumin` and 11 other fields	High correlation
`osmolality` is highly correlated with `albumin` and 12 other fields	High correlation
`globulin` is highly correlated with `albumin` and 11 other fields	High correlation
`vigorous_recreation` is highly correlated with `moderate_recreation`	High correlation
`moderate_recreation` is highly correlated with `vigorous_recreation`	High correlation
`vigorous_work` is highly correlated with `moderate_work`	High correlation
`moderate_work` is highly correlated with `vigorous_work`	High correlation
`lifetime_alcohol_consumption` is highly correlated with `SEQN`	High correlation
`cant_work` is highly correlated with `limited_work` and 4 other fields	High correlation
`limited_work` is highly correlated with `arthritis` and 6 other fields	High correlation
`walking_equipment` is highly correlated with `cant_work` and 3 other fields	High correlation
`memory_problems` is highly correlated with `cant_work` and 1 other fields	High correlation
`healthcare_equipment` is highly correlated with `cant_work` and 2 other fields	High correlation
`health_problem_Back or Neck` is highly correlated with `cant_work` and 2 other fields	High correlation
`health_problem_Arthritis` is highly correlated with `age` and 5 other fields	High correlation
`health_problem_Stroke` is highly correlated with `stroke` and 1 other fields	High correlation
`health_problem_Blood Pressure` is highly correlated with `health_problem_Diabetes`	High correlation
`health_problem_Heart` is highly correlated with `heart_failure` and 3 other fields	High correlation
`health_problem_Diabetes` is highly correlated with `health_problem_Blood Pressure`	High correlation
`marijuana_use` is highly correlated with `age` and 1 other fields	High correlation
`cocaine_use` is highly correlated with `marijuana_use` and 4 other fields	High correlation
`cocaine_number_uses` is highly correlated with `cocaine_use` and 1 other fields	High correlation
`heroine_use` is highly correlated with `cocaine_use` and 1 other fields	High correlation
`meth_use` is highly correlated with `cocaine_use` and 2 other fields	High correlation
`meth_number_uses` is highly correlated with `cocaine_number_uses` and 1 other fields	High correlation
`inject_drugs` is highly correlated with `heroine_use` and 1 other fields	High correlation
`rehab_program` is highly correlated with `cocaine_use`	High correlation
`start_smoking_age` is highly correlated with `current_smoker`	High correlation
`current_smoker` is highly correlated with `start_smoking_age` and 3 other fields	High correlation
`previous_cigarettes_per_day` is highly correlated with `current_smoker` and 1 other fields	High correlation
`current_cigarettes_per_day` is highly correlated with `current_smoker` and 1 other fields	High correlation
`days_quit_smoking` is highly correlated with `current_smoker` and 1 other fields	High correlation
`household_smokers` is highly correlated with `SEQN` and 1 other fields	High correlation
`third_cancer_type` is highly correlated with `fourth_cancer_count` and 1 other fields	High correlation
`limited_work` is highly correlated with `cant_work`	High correlation
`arthritis` is highly correlated with `health_problem_Arthritis` and 1 other fields	High correlation
`first_cancer_count` is highly correlated with `cancer` and 1 other fields	High correlation
`cant_work` is highly correlated with `limited_work`	High correlation
`bronchitis` is highly correlated with `bronchitis_currently`	High correlation
`health_problem_Stroke` is highly correlated with `stroke`	High correlation
`asthma` is highly correlated with `asthma_currently`	High correlation
`second_cancer_type` is highly correlated with `second_cancer_count`	High correlation
`fourth_cancer_count` is highly correlated with `third_cancer_type`	High correlation
`birth_place` is highly correlated with `citizenship`	High correlation
`bronchitis_currently` is highly correlated with `bronchitis`	High correlation
`third_cancer_count` is highly correlated with `third_cancer_type`	High correlation
`thyroid_problem_currently` is highly correlated with `thyroid_problem`	High correlation
`liver_condition` is highly correlated with `liver_condition_currently`	High correlation
`liver_condition_currently` is highly correlated with `liver_condition`	High correlation
`health_problem_Arthritis` is highly correlated with `arthritis`	High correlation
`arthritis_type` is highly correlated with `arthritis`	High correlation
`walking_equipment` is highly correlated with `healthcare_equipment`	High correlation
`cancer` is highly correlated with `first_cancer_count` and 1 other fields	High correlation
`asthma_currently` is highly correlated with `asthma`	High correlation
`first_cancer_type` is highly correlated with `first_cancer_count` and 1 other fields	High correlation
`cocaine_use` is highly correlated with `meth_use`	High correlation
`thyroid_problem` is highly correlated with `thyroid_problem_currently`	High correlation
`gender` is highly correlated with `pregnant`	High correlation
`stroke` is highly correlated with `health_problem_Stroke`	High correlation
`pregnant` is highly correlated with `gender`	High correlation
`second_cancer_count` is highly correlated with `second_cancer_type`	High correlation
`meth_use` is highly correlated with `cocaine_use`	High correlation
`heroine_use` is highly correlated with `inject_drugs`	High correlation
`inject_drugs` is highly correlated with `heroine_use`	High correlation
`citizenship` is highly correlated with `birth_place`	High correlation
`healthcare_equipment` is highly correlated with `walking_equipment`	High correlation
`cocaine_per_month` is highly skewed (γ1 = 49.82114522)	Skewed
`heronine_per_month` is highly skewed (γ1 = 38.06270681)	Skewed
`meth_per_month` is highly skewed (γ1 = 31.76947474)	Skewed
`SEQN` has unique values	Unique
`education_level` has 2157 (5.9%) zeros	Zeros
`household_income` has 1813 (5.0%) zeros	Zeros
`asthma_onset` has 30981 (85.4%) zeros	Zeros
`arthritis_onset` has 27002 (74.5%) zeros	Zeros
`heart_failure_onset` has 35164 (97.0%) zeros	Zeros
`heart_disease_onset` has 34890 (96.2%) zeros	Zeros
`angina_onset` has 35387 (97.6%) zeros	Zeros
`heart_attack_onset` has 34837 (96.1%) zeros	Zeros
`stroke_onset` has 35000 (96.5%) zeros	Zeros
`emphysema_onset` has 35566 (98.1%) zeros	Zeros
`bronchitis_onset` has 34295 (94.6%) zeros	Zeros
`liver_condition_onset` has 34879 (96.2%) zeros	Zeros
`thyroid_problem_onset` has 32795 (90.4%) zeros	Zeros
`cancer_onset` has 35750 (98.6%) zeros	Zeros
`BMI` has 386 (1.1%) zeros	Zeros
`pulse` has 728 (2.0%) zeros	Zeros
`systolic` has 2530 (7.0%) zeros	Zeros
`diastolic` has 2724 (7.5%) zeros	Zeros
`albumin` has 1915 (5.3%) zeros	Zeros
`ALT` has 1999 (5.5%) zeros	Zeros
`AST` has 2016 (5.6%) zeros	Zeros
`ALP` has 1923 (5.3%) zeros	Zeros
`BUN` has 1921 (5.3%) zeros	Zeros
`calcium` has 1950 (5.4%) zeros	Zeros
`CO2` has 1992 (5.5%) zeros	Zeros
`creatinine` has 1917 (5.3%) zeros	Zeros
`GGT` has 1923 (5.3%) zeros	Zeros
`glucose` has 1917 (5.3%) zeros	Zeros
`iron` has 1955 (5.4%) zeros	Zeros
`LHD` has 2106 (5.8%) zeros	Zeros
`phosphorus` has 1923 (5.3%) zeros	Zeros
`bilirubin` has 1939 (5.3%) zeros	Zeros
`total_protein` has 1966 (5.4%) zeros	Zeros
`uric_acid` has 1927 (5.3%) zeros	Zeros
`sodium` has 1918 (5.3%) zeros	Zeros
`potassium` has 1924 (5.3%) zeros	Zeros
`chloride` has 1918 (5.3%) zeros	Zeros
`osmolality` has 1923 (5.3%) zeros	Zeros
`globulin` has 1967 (5.4%) zeros	Zeros
`drinks_per_occasion` has 15602 (43.0%) zeros	Zeros
`drinks_past_year` has 15602 (43.0%) zeros	Zeros
`marijuana_per_month` has 32756 (90.3%) zeros	Zeros
`cocaine_number_uses` has 32310 (89.1%) zeros	Zeros
`cocaine_per_month` has 35837 (98.8%) zeros	Zeros
`heronine_per_month` has 36200 (99.8%) zeros	Zeros
`meth_number_uses` has 34660 (95.6%) zeros	Zeros
`meth_per_month` has 36111 (99.6%) zeros	Zeros
`start_smoking_age` has 21426 (59.1%) zeros	Zeros
`previous_cigarettes_per_day` has 28368 (78.2%) zeros	Zeros
`current_cigarettes_per_day` has 28822 (79.5%) zeros	Zeros
`days_quit_smoking` has 27934 (77.0%) zeros	Zeros

Reproduction

Analysis started	2022-05-08 15:21:47.340180
Analysis finished	2022-05-08 15:23:07.548546
Duration	1 minute and 20.21 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

SEQN
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	36259
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	67521.5638

Minimum	31131
Maximum	102956
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	31131
5-th percentile	35125.6
Q1	49463
median	66902
Q3	85901.5
95-th percentile	99540.1
Maximum	102956
Range	71825
Interquartile range (IQR)	36438.5

Descriptive statistics

Standard deviation	20832.29403
Coefficient of variation (CV)	0.3085280147
Kurtosis	-1.234354549
Mean	67521.5638
Median Absolute Deviation (MAD)	18208
Skewness	0.001381509476
Sum	2448264382
Variance	433984474.5
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
31131	1	< 0.1%
80181	1	< 0.1%
80168	1	< 0.1%
80169	1	< 0.1%
80170	1	< 0.1%
80175	1	< 0.1%
80178	1	< 0.1%
80179	1	< 0.1%
80183	1	< 0.1%
80164	1	< 0.1%
Other values (36249)	36249	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
31131	1	< 0.1%
31132	1	< 0.1%
31134	1	< 0.1%
31139	1	< 0.1%
31143	1	< 0.1%
31144	1	< 0.1%
31149	1	< 0.1%
31150	1	< 0.1%
31151	1	< 0.1%
31152	1	< 0.1%

Value	Count	Frequency (%)
102956	1	< 0.1%
102954	1	< 0.1%
102953	1	< 0.1%
102952	1	< 0.1%
102949	1	< 0.1%
102947	1	< 0.1%
102944	1	< 0.1%
102943	1	< 0.1%
102935	1	< 0.1%
102934	1	< 0.1%

depression
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

Not Depressed	33091
Depressed	3168

Length

Max length	13
Median length	13
Mean length	12.65051436
Min length	9

Characters and Unicode

Total characters	458695
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Not Depressed
2nd row	Not Depressed
3rd row	Not Depressed
4th row	Not Depressed
5th row	Not Depressed

Common Values

Value	Count	Frequency (%)
Not Depressed	33091	91.3%
Depressed	3168	8.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
depressed	36259	52.3%
not	33091	47.7%

Most occurring characters

Value	Count	Frequency (%)
e	108777	23.7%
s	72518	15.8%
D	36259	7.9%
p	36259	7.9%
r	36259	7.9%
d	36259	7.9%
N	33091	7.2%
o	33091	7.2%
t	33091	7.2%
	33091	7.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	356254	77.7%
Uppercase Letter	69350	15.1%
Space Separator	33091	7.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	108777	30.5%
s	72518	20.4%
p	36259	10.2%
r	36259	10.2%
d	36259	10.2%
o	33091	9.3%
t	33091	9.3%

Uppercase Letter

Value	Count	Frequency (%)
D	36259	52.3%
N	33091	47.7%

Space Separator

Value	Count	Frequency (%)
	33091	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	425604	92.8%
Common	33091	7.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	108777	25.6%
s	72518	17.0%
D	36259	8.5%
p	36259	8.5%
r	36259	8.5%
d	36259	8.5%
N	33091	7.8%
o	33091	7.8%
t	33091	7.8%

Common

Value	Count	Frequency (%)
	33091	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	458695	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	108777	23.7%
s	72518	15.8%
D	36259	7.9%
p	36259	7.9%
r	36259	7.9%
d	36259	7.9%
N	33091	7.2%
o	33091	7.2%
t	33091	7.2%
	33091	7.2%

gender
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

1	18447
0	17812

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36259
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	18447	50.9%
0	17812	49.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	18447	50.9%
0	17812	49.1%

Most occurring characters

Value	Count	Frequency (%)
1	18447	50.9%
0	17812	49.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36259	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	18447	50.9%
0	17812	49.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	36259	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	18447	50.9%
0	17812	49.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36259	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	18447	50.9%
0	17812	49.1%

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	68
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47.78625996

Minimum	18
Maximum	85
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	18
5-th percentile	19
Q1	31
median	47
Q3	63
95-th percentile	80
Maximum	85
Range	67
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	18.76397783
Coefficient of variation (CV)	0.3926647083
Kurtosis	-1.141364256
Mean	47.78625996
Median Absolute Deviation (MAD)	16
Skewness	0.08984870427
Sum	1732682
Variance	352.086864
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	1829	5.0%
18	1076	3.0%
19	1055	2.9%
60	774	2.1%
61	725	2.0%
62	685	1.9%
63	652	1.8%
22	631	1.7%
23	617	1.7%
40	613	1.7%
Other values (58)	27602	76.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	1076	3.0%
19	1055	2.9%
20	584	1.6%
21	570	1.6%
22	631	1.7%
23	617	1.7%
24	588	1.6%
25	579	1.6%
26	555	1.5%
27	533	1.5%

Value	Count	Frequency (%)
85	101	0.3%
84	24	0.1%
83	34	0.1%
82	35	0.1%
81	45	0.1%
80	1829	5.0%
79	245	0.7%
78	292	0.8%
77	276	0.8%
76	311	0.9%

race
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

White	15179
Black	7930
Mexican	5874
Other and Multiracial	3848
Other Hispanic	3428

Length

Max length	21
Median length	5
Mean length	7.872886732
Min length	5

Characters and Unicode

Total characters	285463
Distinct characters	21
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Black
2nd row	White
3rd row	White
4th row	Other Hispanic
5th row	White

Common Values

Value	Count	Frequency (%)
White	15179	41.9%
Black	7930	21.9%
Mexican	5874	16.2%
Other and Multiracial	3848	10.6%
Other Hispanic	3428	9.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
white	15179	32.0%
black	7930	16.7%
other	7276	15.4%
mexican	5874	12.4%
and	3848	8.1%
multiracial	3848	8.1%
hispanic	3428	7.2%

Most occurring characters

Value	Count	Frequency (%)
i	35605	12.5%
a	28776	10.1%
e	28329	9.9%
t	26303	9.2%
h	22455	7.9%
c	21080	7.4%
l	15626	5.5%
W	15179	5.3%
n	13150	4.6%
	11124	3.9%
Other values (11)	67836	23.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	230804	80.9%
Uppercase Letter	43535	15.3%
Space Separator	11124	3.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	35605	15.4%
a	28776	12.5%
e	28329	12.3%
t	26303	11.4%
h	22455	9.7%
c	21080	9.1%
l	15626	6.8%
n	13150	5.7%
r	11124	4.8%
k	7930	3.4%
Other values (5)	20426	8.8%

Uppercase Letter

Value	Count	Frequency (%)
W	15179	34.9%
M	9722	22.3%
B	7930	18.2%
O	7276	16.7%
H	3428	7.9%

Space Separator

Value	Count	Frequency (%)
	11124	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	274339	96.1%
Common	11124	3.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	35605	13.0%
a	28776	10.5%
e	28329	10.3%
t	26303	9.6%
h	22455	8.2%
c	21080	7.7%
l	15626	5.7%
W	15179	5.5%
n	13150	4.8%
r	11124	4.1%
Other values (10)	56712	20.7%

Common

Value	Count	Frequency (%)
	11124	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	285463	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	35605	12.5%
a	28776	10.1%
e	28329	9.9%
t	26303	9.2%
h	22455	7.9%
c	21080	7.4%
l	15626	5.5%
W	15179	5.3%
n	13150	4.6%
	11124	3.9%
Other values (11)	67836	23.8%

citizenship
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

Citizen	31238
Not Citizen	4952
Missing	69

Length

Max length	11
Median length	7
Mean length	7.546291955
Min length	7

Characters and Unicode

Total characters	273621
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Citizen
2nd row	Citizen
3rd row	Citizen
4th row	Citizen
5th row	Citizen

Common Values

Value	Count	Frequency (%)
Citizen	31238	86.2%
Not Citizen	4952	13.7%
Missing	69	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
citizen	36190	87.8%
not	4952	12.0%
missing	69	0.2%

Most occurring characters

Value	Count	Frequency (%)
i	72518	26.5%
t	41142	15.0%
n	36259	13.3%
C	36190	13.2%
z	36190	13.2%
e	36190	13.2%
N	4952	1.8%
o	4952	1.8%
	4952	1.8%
s	138	0.1%
Other values (2)	138	0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	227458	83.1%
Uppercase Letter	41211	15.1%
Space Separator	4952	1.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	72518	31.9%
t	41142	18.1%
n	36259	15.9%
z	36190	15.9%
e	36190	15.9%
o	4952	2.2%
s	138	0.1%
g	69	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
C	36190	87.8%
N	4952	12.0%
M	69	0.2%

Space Separator

Value	Count	Frequency (%)
	4952	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	268669	98.2%
Common	4952	1.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	72518	27.0%
t	41142	15.3%
n	36259	13.5%
C	36190	13.5%
z	36190	13.5%
e	36190	13.5%
N	4952	1.8%
o	4952	1.8%
s	138	0.1%
M	69	< 0.1%

Common

Value	Count	Frequency (%)
	4952	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	273621	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	72518	26.5%
t	41142	15.0%
n	36259	13.3%
C	36190	13.2%
z	36190	13.2%
e	36190	13.2%
N	4952	1.8%
o	4952	1.8%
	4952	1.8%
s	138	0.1%
Other values (2)	138	0.1%

education_level
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.209106705

Minimum	0
Maximum	5
Zeros	2157
Zeros (%)	5.9%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.464931537
Coefficient of variation (CV)	0.4564919997
Kurtosis	-0.5719330285
Mean	3.209106705
Median Absolute Deviation (MAD)	1
Skewness	-0.5887800903
Sum	116359
Variance	2.146024407
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	10136	28.0%
3	7887	21.8%
5	7813	21.5%
2	4823	13.3%
1	3443	9.5%
0	2157	5.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2157	5.9%
1	3443	9.5%
2	4823	13.3%
3	7887	21.8%
4	10136	28.0%
5	7813	21.5%

Value	Count	Frequency (%)
5	7813	21.5%
4	10136	28.0%
3	7887	21.8%
2	4823	13.3%
1	3443	9.5%
0	2157	5.9%

marital_status
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

Married	17574
Never Married	6602
Divorced	3751
Partner	2842
Widowed	2695
Other values (2)	2795

Length

Max length	13
Median length	7
Mean length	8.259852726
Min length	7

Characters and Unicode

Total characters	299494
Distinct characters	21
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Married
2nd row	Married
3rd row	Married
4th row	Never Married
5th row	Never Married

Common Values

Value	Count	Frequency (%)
Married	17574	48.5%
Never Married	6602	18.2%
Divorced	3751	10.3%
Partner	2842	7.8%
Widowed	2695	7.4%
Missing	1636	4.5%
Separated	1159	3.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
married	24176	56.4%
never	6602	15.4%
divorced	3751	8.8%
partner	2842	6.6%
widowed	2695	6.3%
missing	1636	3.8%
separated	1159	2.7%

Most occurring characters

Value	Count	Frequency (%)
r	65548	21.9%
e	48986	16.4%
d	34476	11.5%
i	33894	11.3%
a	29336	9.8%
M	25812	8.6%
v	10353	3.5%
N	6602	2.2%
	6602	2.2%
o	6446	2.2%
Other values (11)	31439	10.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	250031	83.5%
Uppercase Letter	42861	14.3%
Space Separator	6602	2.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	65548	26.2%
e	48986	19.6%
d	34476	13.8%
i	33894	13.6%
a	29336	11.7%
v	10353	4.1%
o	6446	2.6%
n	4478	1.8%
t	4001	1.6%
c	3751	1.5%
Other values (4)	8762	3.5%

Uppercase Letter

Value	Count	Frequency (%)
M	25812	60.2%
N	6602	15.4%
D	3751	8.8%
P	2842	6.6%
W	2695	6.3%
S	1159	2.7%

Space Separator

Value	Count	Frequency (%)
	6602	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	292892	97.8%
Common	6602	2.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	65548	22.4%
e	48986	16.7%
d	34476	11.8%
i	33894	11.6%
a	29336	10.0%
M	25812	8.8%
v	10353	3.5%
N	6602	2.3%
o	6446	2.2%
n	4478	1.5%
Other values (10)	26961	9.2%

Common

Value	Count	Frequency (%)
	6602	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	299494	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	65548	21.9%
e	48986	16.4%
d	34476	11.5%
i	33894	11.3%
a	29336	9.8%
M	25812	8.6%
v	10353	3.5%
N	6602	2.2%
	6602	2.2%
o	6446	2.2%
Other values (11)	31439	10.5%

household_size
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.206348769

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	7
Maximum	7
Range	6
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.677449524
Coefficient of variation (CV)	0.523165022
Kurtosis	-0.439337375
Mean	3.206348769
Median Absolute Deviation (MAD)	1
Skewness	0.6473513447
Sum	116259
Variance	2.813836905
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	10769	29.7%
3	6607	18.2%
4	5905	16.3%
1	4945	13.6%
5	3929	10.8%
7	2066	5.7%
6	2038	5.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4945	13.6%
2	10769	29.7%
3	6607	18.2%
4	5905	16.3%
5	3929	10.8%
6	2038	5.6%
7	2066	5.7%

Value	Count	Frequency (%)
7	2066	5.7%
6	2038	5.6%
5	3929	10.8%
4	5905	16.3%
3	6607	18.2%
2	10769	29.7%
1	4945	13.6%

pregnant
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

Missing	28366
No	7237
Yes	656

Length

Max length	7
Median length	7
Mean length	5.929672633
Min length	2

Characters and Unicode

Total characters	215004
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	Missing
3rd row	Missing
4th row	No
5th row	Missing

Common Values

Value	Count	Frequency (%)
Missing	28366	78.2%
No	7237	20.0%
Yes	656	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
missing	28366	78.2%
no	7237	20.0%
yes	656	1.8%

Most occurring characters

Value	Count	Frequency (%)
s	57388	26.7%
i	56732	26.4%
M	28366	13.2%
n	28366	13.2%
g	28366	13.2%
N	7237	3.4%
o	7237	3.4%
Y	656	0.3%
e	656	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	178745	83.1%
Uppercase Letter	36259	16.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	57388	32.1%
i	56732	31.7%
n	28366	15.9%
g	28366	15.9%
o	7237	4.0%
e	656	0.4%

Uppercase Letter

Value	Count	Frequency (%)
M	28366	78.2%
N	7237	20.0%
Y	656	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	215004	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	57388	26.7%
i	56732	26.4%
M	28366	13.2%
n	28366	13.2%
g	28366	13.2%
N	7237	3.4%
o	7237	3.4%
Y	656	0.3%
e	656	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	215004	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	57388	26.7%
i	56732	26.4%
M	28366	13.2%
n	28366	13.2%
g	28366	13.2%
N	7237	3.4%
o	7237	3.4%
Y	656	0.3%
e	656	0.3%

birth_place
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

USA	26624
Mexico	7704
Other Spanish Country	865
Other Non Spanish Country	690
Elsewhere	362

Length

Max length	25
Median length	3
Mean length	4.54692628
Min length	3

Characters and Unicode

Total characters	164867
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	USA
2nd row	USA
3rd row	USA
4th row	USA
5th row	USA

Common Values

Value	Count	Frequency (%)
USA	26624	73.4%
Mexico	7704	21.2%
Other Spanish Country	865	2.4%
Other Non Spanish Country	690	1.9%
Elsewhere	362	1.0%
Missing	14	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
usa	26624	66.5%
mexico	7704	19.2%
other	1555	3.9%
spanish	1555	3.9%
country	1555	3.9%
non	690	1.7%
elsewhere	362	0.9%
missing	14	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
S	28179	17.1%
U	26624	16.1%
A	26624	16.1%
e	10345	6.3%
o	9949	6.0%
i	9287	5.6%
M	7718	4.7%
x	7704	4.7%
c	7704	4.7%
n	3814	2.3%
Other values (16)	26919	16.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	93307	56.6%
Lowercase Letter	67760	41.1%
Space Separator	3800	2.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	10345	15.3%
o	9949	14.7%
i	9287	13.7%
x	7704	11.4%
c	7704	11.4%
n	3814	5.6%
h	3472	5.1%
r	3472	5.1%
t	3110	4.6%
s	1945	2.9%
Other values (7)	6958	10.3%

Uppercase Letter

Value	Count	Frequency (%)
S	28179	30.2%
U	26624	28.5%
A	26624	28.5%
M	7718	8.3%
O	1555	1.7%
C	1555	1.7%
N	690	0.7%
E	362	0.4%

Space Separator

Value	Count	Frequency (%)
	3800	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	161067	97.7%
Common	3800	2.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	28179	17.5%
U	26624	16.5%
A	26624	16.5%
e	10345	6.4%
o	9949	6.2%
i	9287	5.8%
M	7718	4.8%
x	7704	4.8%
c	7704	4.8%
n	3814	2.4%
Other values (15)	23119	14.4%

Common

Value	Count	Frequency (%)
	3800	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	164867	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	28179	17.1%
U	26624	16.1%
A	26624	16.1%
e	10345	6.3%
o	9949	6.0%
i	9287	5.6%
M	7718	4.7%
x	7704	4.7%
c	7704	4.7%
n	3814	2.3%
Other values (16)	26919	16.3%

veteran
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

No	32325
Yes	3929
Missing	5

Length

Max length	7
Median length	2
Mean length	2.109048788
Min length	2

Characters and Unicode

Total characters	76472
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	Yes
3rd row	Yes
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	32325	89.2%
Yes	3929	10.8%
Missing	5	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	32325	89.2%
yes	3929	10.8%
missing	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
N	32325	42.3%
o	32325	42.3%
s	3939	5.2%
Y	3929	5.1%
e	3929	5.1%
i	10	< 0.1%
M	5	< 0.1%
n	5	< 0.1%
g	5	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	40213	52.6%
Uppercase Letter	36259	47.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	32325	80.4%
s	3939	9.8%
e	3929	9.8%
i	10	< 0.1%
n	5	< 0.1%
g	5	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
N	32325	89.2%
Y	3929	10.8%
M	5	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	76472	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	32325	42.3%
o	32325	42.3%
s	3939	5.2%
Y	3929	5.1%
e	3929	5.1%
i	10	< 0.1%
M	5	< 0.1%
n	5	< 0.1%
g	5	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	76472	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	32325	42.3%
o	32325	42.3%
s	3939	5.2%
Y	3929	5.1%
e	3929	5.1%
i	10	< 0.1%
M	5	< 0.1%
n	5	< 0.1%
g	5	< 0.1%

household_income
Real number (ℝ_≥0)

ZEROS

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.919357953

Minimum	0
Maximum	12
Zeros	1813
Zeros (%)	5.0%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0.9
Q1	4
median	7
Q3	10
95-th percentile	12
Maximum	12
Range	12
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.523152592
Coefficient of variation (CV)	0.509173339
Kurtosis	-0.9595620438
Mean	6.919357953
Median Absolute Deviation (MAD)	3
Skewness	-0.1357985848
Sum	250889
Variance	12.41260419
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
12	4906	13.5%
6	4154	11.5%
5	3947	10.9%
11	3839	10.6%
7	3419	9.4%
4	2803	7.7%
8	2796	7.7%
3	2407	6.6%
9	2119	5.8%
0	1813	5.0%
Other values (3)	4056	11.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1813	5.0%
1	828	2.3%
2	1473	4.1%
3	2407	6.6%
4	2803	7.7%
5	3947	10.9%
6	4154	11.5%
7	3419	9.4%
8	2796	7.7%
9	2119	5.8%

Value	Count	Frequency (%)
12	4906	13.5%
11	3839	10.6%
10	1755	4.8%
9	2119	5.8%
8	2796	7.7%
7	3419	9.4%
6	4154	11.5%
5	3947	10.9%
4	2803	7.7%
3	2407	6.6%

asthma
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	30902
1.0	5357

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	30902	85.2%
1.0	5357	14.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	30902	85.2%
1.0	5357	14.8%

Most occurring characters

Value	Count	Frequency (%)
0	67161	61.7%
.	36259	33.3%
1	5357	4.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	67161	92.6%
1	5357	7.4%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	67161	61.7%
.	36259	33.3%
1	5357	4.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	67161	61.7%
.	36259	33.3%
1	5357	4.9%

asthma_onset
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	82
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.142364654

Minimum	0
Maximum	85
Zeros	30981
Zeros (%)	85.4%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	25
Maximum	85
Range	85
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	10.7631073
Coefficient of variation (CV)	3.425161777
Kurtosis	18.28610056
Mean	3.142364654
Median Absolute Deviation (MAD)	0
Skewness	4.194778713
Sum	113939
Variance	115.8444788
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	30981	85.4%
1	482	1.3%
5	306	0.8%
10	272	0.8%
6	228	0.6%
7	220	0.6%
8	212	0.6%
12	193	0.5%
4	159	0.4%
3	153	0.4%
Other values (72)	3053	8.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	30981	85.4%
1	482	1.3%
2	130	0.4%
3	153	0.4%
4	159	0.4%
5	306	0.8%
6	228	0.6%
7	220	0.6%
8	212	0.6%
9	122	0.3%

Value	Count	Frequency (%)
85	2	< 0.1%
80	20	0.1%
79	2	< 0.1%
78	7	< 0.1%
77	4	< 0.1%
76	6	< 0.1%
75	11	< 0.1%
74	6	< 0.1%
73	14	< 0.1%
72	12	< 0.1%

asthma_currently
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	33142
1.0	3117

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	33142	91.4%
1.0	3117	8.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	33142	91.4%
1.0	3117	8.6%

Most occurring characters

Value	Count	Frequency (%)
0	69401	63.8%
.	36259	33.3%
1	3117	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	69401	95.7%
1	3117	4.3%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	69401	63.8%
.	36259	33.3%
1	3117	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	69401	63.8%
.	36259	33.3%
1	3117	2.9%

asthma_emergency
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	35760
1.0	499

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	35760	98.6%
1.0	499	1.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	35760	98.6%
1.0	499	1.4%

Most occurring characters

Value	Count	Frequency (%)
0	72019	66.2%
.	36259	33.3%
1	499	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	72019	99.3%
1	499	0.7%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	72019	66.2%
.	36259	33.3%
1	499	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	72019	66.2%
.	36259	33.3%
1	499	0.5%

anemia
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	34729
1.0	1530

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	34729	95.8%
1.0	1530	4.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	34729	95.8%
1.0	1530	4.2%

Most occurring characters

Value	Count	Frequency (%)
0	70988	65.3%
.	36259	33.3%
1	1530	1.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	70988	97.9%
1	1530	2.1%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	70988	65.3%
.	36259	33.3%
1	1530	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	70988	65.3%
.	36259	33.3%
1	1530	1.4%

ever_overweight
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	23742
1.0	12517

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	23742	65.5%
1.0	12517	34.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	23742	65.5%
1.0	12517	34.5%

Most occurring characters

Value	Count	Frequency (%)
0	60001	55.2%
.	36259	33.3%
1	12517	11.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	60001	82.7%
1	12517	17.3%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	60001	55.2%
.	36259	33.3%
1	12517	11.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	60001	55.2%
.	36259	33.3%
1	12517	11.5%

blood_transfusion
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	32018
1.0	4241

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	32018	88.3%
1.0	4241	11.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	32018	88.3%
1.0	4241	11.7%

Most occurring characters

Value	Count	Frequency (%)
0	68277	62.8%
.	36259	33.3%
1	4241	3.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	68277	94.2%
1	4241	5.8%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	68277	62.8%
.	36259	33.3%
1	4241	3.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	68277	62.8%
.	36259	33.3%
1	4241	3.9%

arthritis
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	26863
1.0	9396

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	26863	74.1%
1.0	9396	25.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	26863	74.1%
1.0	9396	25.9%

Most occurring characters

Value	Count	Frequency (%)
0	63122	58.0%
.	36259	33.3%
1	9396	8.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	63122	87.0%
1	9396	13.0%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	63122	58.0%
.	36259	33.3%
1	9396	8.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	63122	58.0%
.	36259	33.3%
1	9396	8.6%

heart_failure
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	35150
1.0	1109

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	35150	96.9%
1.0	1109	3.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	35150	96.9%
1.0	1109	3.1%

Most occurring characters

Value	Count	Frequency (%)
0	71409	65.6%
.	36259	33.3%
1	1109	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71409	98.5%
1	1109	1.5%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71409	65.6%
.	36259	33.3%
1	1109	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71409	65.6%
.	36259	33.3%
1	1109	1.0%

heart_disease
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	34872
1.0	1387

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	34872	96.2%
1.0	1387	3.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	34872	96.2%
1.0	1387	3.8%

Most occurring characters

Value	Count	Frequency (%)
0	71131	65.4%
.	36259	33.3%
1	1387	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71131	98.1%
1	1387	1.9%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71131	65.4%
.	36259	33.3%
1	1387	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71131	65.4%
.	36259	33.3%
1	1387	1.3%

angina
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	35374
1.0	885

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	35374	97.6%
1.0	885	2.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	35374	97.6%
1.0	885	2.4%

Most occurring characters

Value	Count	Frequency (%)
0	71633	65.9%
.	36259	33.3%
1	885	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71633	98.8%
1	885	1.2%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71633	65.9%
.	36259	33.3%
1	885	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71633	65.9%
.	36259	33.3%
1	885	0.8%

heart_attack
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	34815
1.0	1444

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	34815	96.0%
1.0	1444	4.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	34815	96.0%
1.0	1444	4.0%

Most occurring characters

Value	Count	Frequency (%)
0	71074	65.3%
.	36259	33.3%
1	1444	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71074	98.0%
1	1444	2.0%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71074	65.3%
.	36259	33.3%
1	1444	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71074	65.3%
.	36259	33.3%
1	1444	1.3%

stroke
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	34975
1.0	1284

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	34975	96.5%
1.0	1284	3.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	34975	96.5%
1.0	1284	3.5%

Most occurring characters

Value	Count	Frequency (%)
0	71234	65.5%
.	36259	33.3%
1	1284	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71234	98.2%
1	1284	1.8%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71234	65.5%
.	36259	33.3%
1	1284	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71234	65.5%
.	36259	33.3%
1	1284	1.2%

emphysema
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	35553
1.0	706

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	35553	98.1%
1.0	706	1.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	35553	98.1%
1.0	706	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	71812	66.0%
.	36259	33.3%
1	706	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71812	99.0%
1	706	1.0%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71812	66.0%
.	36259	33.3%
1	706	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71812	66.0%
.	36259	33.3%
1	706	0.6%

bronchitis
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	34226
1.0	2033

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	34226	94.4%
1.0	2033	5.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	34226	94.4%
1.0	2033	5.6%

Most occurring characters

Value	Count	Frequency (%)
0	70485	64.8%
.	36259	33.3%
1	2033	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	70485	97.2%
1	2033	2.8%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	70485	64.8%
.	36259	33.3%
1	2033	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	70485	64.8%
.	36259	33.3%
1	2033	1.9%

liver_condition
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	34864
1.0	1395

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	34864	96.2%
1.0	1395	3.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	34864	96.2%
1.0	1395	3.8%

Most occurring characters

Value	Count	Frequency (%)
0	71123	65.4%
.	36259	33.3%
1	1395	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71123	98.1%
1	1395	1.9%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71123	65.4%
.	36259	33.3%
1	1395	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71123	65.4%
.	36259	33.3%
1	1395	1.3%

thyroid_problem
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	32746
1.0	3513

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	32746	90.3%
1.0	3513	9.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	32746	90.3%
1.0	3513	9.7%

Most occurring characters

Value	Count	Frequency (%)
0	69005	63.4%
.	36259	33.3%
1	3513	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	69005	95.2%
1	3513	4.8%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	69005	63.4%
.	36259	33.3%
1	3513	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	69005	63.4%
.	36259	33.3%
1	3513	3.2%

bronchitis_currently
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	35305
1.0	954

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	35305	97.4%
1.0	954	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	35305	97.4%
1.0	954	2.6%

Most occurring characters

Value	Count	Frequency (%)
0	71564	65.8%
.	36259	33.3%
1	954	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71564	98.7%
1	954	1.3%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71564	65.8%
.	36259	33.3%
1	954	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71564	65.8%
.	36259	33.3%
1	954	0.9%

liver_condition_currently
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	35501
1.0	758

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	35501	97.9%
1.0	758	2.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	35501	97.9%
1.0	758	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	71760	66.0%
.	36259	33.3%
1	758	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71760	99.0%
1	758	1.0%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71760	66.0%
.	36259	33.3%
1	758	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71760	66.0%
.	36259	33.3%
1	758	0.7%

thyroid_problem_currently
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	33675
1.0	2584

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	33675	92.9%
1.0	2584	7.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	33675	92.9%
1.0	2584	7.1%

Most occurring characters

Value	Count	Frequency (%)
0	69934	64.3%
.	36259	33.3%
1	2584	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	69934	96.4%
1	2584	3.6%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	69934	64.3%
.	36259	33.3%
1	2584	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	69934	64.3%
.	36259	33.3%
1	2584	2.4%

cancer
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	32973
1.0	3286

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	32973	90.9%
1.0	3286	9.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	32973	90.9%
1.0	3286	9.1%

Most occurring characters

Value	Count	Frequency (%)
0	69232	63.6%
.	36259	33.3%
1	3286	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	69232	95.5%
1	3286	4.5%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	69232	63.6%
.	36259	33.3%
1	3286	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	69232	63.6%
.	36259	33.3%
1	3286	3.0%

first_cancer_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	31
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

None	33001
Breast	521
Skin Non Melanoma	498
Prostate	494
Skin Other	241
Other values (26)	1504

Length

Max length	17
Median length	4
Mean length	4.413331862
Min length	4

Characters and Unicode

Total characters	160023
Distinct characters	37
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	None
2nd row	None
3rd row	None
4th row	None
5th row	None

Common Values

Value	Count	Frequency (%)
None	33001	91.0%
Breast	521	1.4%
Skin Non Melanoma	498	1.4%
Prostate	494	1.4%
Skin Other	241	0.7%
Cervical	220	0.6%
Colon	204	0.6%
Melanoma	195	0.5%
Other	143	0.4%
Uterine	128	0.4%
Other values (21)	614	1.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
none	33001	88.0%
skin	739	2.0%
melanoma	693	1.8%
breast	521	1.4%
non	498	1.3%
prostate	494	1.3%
other	384	1.0%
cervical	220	0.6%
colon	204	0.5%
uterine	128	0.3%
Other values (23)	619	1.7%

Most occurring characters

Value	Count	Frequency (%)
e	35862	22.4%
n	35506	22.2%
o	35329	22.1%
N	33500	20.9%
a	3073	1.9%
t	2105	1.3%
r	2024	1.3%
i	1368	0.9%
l	1256	0.8%
	1242	0.8%
Other values (27)	8758	5.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	121280	75.8%
Uppercase Letter	37501	23.4%
Space Separator	1242	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	35862	29.6%
n	35506	29.3%
o	35329	29.1%
a	3073	2.5%
t	2105	1.7%
r	2024	1.7%
i	1368	1.1%
l	1256	1.0%
s	1061	0.9%
m	899	0.7%
Other values (12)	2797	2.3%

Uppercase Letter

Value	Count	Frequency (%)
N	33500	89.3%
S	768	2.0%
M	712	1.9%
B	632	1.7%
P	502	1.3%
O	451	1.2%
C	424	1.1%
L	209	0.6%
U	128	0.3%
T	85	0.2%
Other values (4)	90	0.2%

Space Separator

Value	Count	Frequency (%)
	1242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	158781	99.2%
Common	1242	0.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	35862	22.6%
n	35506	22.4%
o	35329	22.3%
N	33500	21.1%
a	3073	1.9%
t	2105	1.3%
r	2024	1.3%
i	1368	0.9%
l	1256	0.8%
s	1061	0.7%
Other values (26)	7697	4.8%

Common

Value	Count	Frequency (%)
	1242	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	160023	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	35862	22.4%
n	35506	22.2%
o	35329	22.1%
N	33500	20.9%
a	3073	1.9%
t	2105	1.3%
r	2024	1.3%
i	1368	0.9%
l	1256	0.8%
	1242	0.8%
Other values (27)	8758	5.5%

second_cancer_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	27
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

None	35918
Skin Non Melanoma	40
Prostate	37
Skin Other	34
Other	29
Other values (22)	201

Length

Max length	17
Median length	4
Mean length	4.038859318
Min length	4

Characters and Unicode

Total characters	146445
Distinct characters	34
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	None
2nd row	None
3rd row	None
4th row	None
5th row	None

Common Values

Value	Count	Frequency (%)
None	35918	99.1%
Skin Non Melanoma	40	0.1%
Prostate	37	0.1%
Skin Other	34	0.1%
Other	29	0.1%
Melanoma	28	0.1%
Colon	27	0.1%
Ovarian	22	0.1%
Breast	18	< 0.1%
Uterine	17	< 0.1%
Other values (17)	89	0.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
none	35918	98.7%
skin	74	0.2%
melanoma	68	0.2%
other	63	0.2%
non	40	0.1%
prostate	37	0.1%
colon	27	0.1%
ovarian	22	0.1%
breast	18	< 0.1%
uterine	17	< 0.1%
Other values (17)	89	0.2%

Most occurring characters

Value	Count	Frequency (%)
e	36199	24.7%
n	36195	24.7%
o	36150	24.7%
N	35958	24.6%
a	289	0.2%
r	196	0.1%
t	186	0.1%
i	149	0.1%
l	125	0.1%
	114	0.1%
Other values (24)	884	0.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	109958	75.1%
Uppercase Letter	36373	24.8%
Space Separator	114	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	36199	32.9%
n	36195	32.9%
o	36150	32.9%
a	289	0.3%
r	196	0.2%
t	186	0.2%
i	149	0.1%
l	125	0.1%
m	90	0.1%
h	85	0.1%
Other values (10)	294	0.3%

Uppercase Letter

Value	Count	Frequency (%)
N	35958	98.9%
O	85	0.2%
S	77	0.2%
M	71	0.2%
B	43	0.1%
P	39	0.1%
C	33	0.1%
L	26	0.1%
U	17	< 0.1%
K	9	< 0.1%
Other values (3)	15	< 0.1%

Space Separator

Value	Count	Frequency (%)
	114	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	146331	99.9%
Common	114	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	36199	24.7%
n	36195	24.7%
o	36150	24.7%
N	35958	24.6%
a	289	0.2%
r	196	0.1%
t	186	0.1%
i	149	0.1%
l	125	0.1%
m	90	0.1%
Other values (23)	794	0.5%

Common

Value	Count	Frequency (%)
	114	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	146445	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	36199	24.7%
n	36195	24.7%
o	36150	24.7%
N	35958	24.6%
a	289	0.2%
r	196	0.1%
t	186	0.1%
i	149	0.1%
l	125	0.1%
	114	0.1%
Other values (24)	884	0.6%

third_cancer_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	18
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

None	36220
Other	5
Skin Non Melanoma	5
Skin Other	4
Uterine	3
Other values (13)	22

Length

Max length	17
Median length	4
Mean length	4.004247221
Min length	4

Characters and Unicode

Total characters	145190
Distinct characters	29
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	< 0.1%

Sample

1st row	None
2nd row	None
3rd row	None
4th row	None
5th row	None

Common Values

Value	Count	Frequency (%)
None	36220	99.9%
Other	5	< 0.1%
Skin Non Melanoma	5	< 0.1%
Skin Other	4	< 0.1%
Uterine	3	< 0.1%
Melanoma	3	< 0.1%
Thyroid	3	< 0.1%
Ovarian	2	< 0.1%
Liver	2	< 0.1%
Colon	2	< 0.1%
Other values (8)	10	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
none	36220	99.9%
other	9	< 0.1%
skin	9	< 0.1%
melanoma	8	< 0.1%
non	5	< 0.1%
uterine	3	< 0.1%
thyroid	3	< 0.1%
prostate	2	< 0.1%
lung	2	< 0.1%
colon	2	< 0.1%
Other values (8)	10	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
n	36253	25.0%
e	36252	25.0%
o	36245	25.0%
N	36225	25.0%
a	26	< 0.1%
r	24	< 0.1%
i	22	< 0.1%
t	17	< 0.1%
	14	< 0.1%
h	12	< 0.1%
Other values (19)	100	0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	108903	75.0%
Uppercase Letter	36273	25.0%
Space Separator	14	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	36253	33.3%
e	36252	33.3%
o	36245	33.3%
a	26	< 0.1%
r	24	< 0.1%
i	22	< 0.1%
t	17	< 0.1%
h	12	< 0.1%
l	12	< 0.1%
k	10	< 0.1%
Other values (8)	30	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
N	36225	99.9%
O	11	< 0.1%
S	9	< 0.1%
M	8	< 0.1%
L	5	< 0.1%
B	4	< 0.1%
T	3	< 0.1%
C	3	< 0.1%
U	3	< 0.1%
P	2	< 0.1%

Space Separator

Value	Count	Frequency (%)
	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	145176	> 99.9%
Common	14	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	36253	25.0%
e	36252	25.0%
o	36245	25.0%
N	36225	25.0%
a	26	< 0.1%
r	24	< 0.1%
i	22	< 0.1%
t	17	< 0.1%
h	12	< 0.1%
l	12	< 0.1%
Other values (18)	88	0.1%

Common

Value	Count	Frequency (%)
	14	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	145190	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	36253	25.0%
e	36252	25.0%
o	36245	25.0%
N	36225	25.0%
a	26	< 0.1%
r	24	< 0.1%
i	22	< 0.1%
t	17	< 0.1%
	14	< 0.1%
h	12	< 0.1%
Other values (19)	100	0.1%

fourth_cancer_count
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	36255
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	36255	> 99.9%
1.0	4	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	36255	> 99.9%
1.0	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	72514	66.7%
.	36259	33.3%
1	4	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	72514	> 99.9%
1	4	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	72514	66.7%
.	36259	33.3%
1	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	72514	66.7%
.	36259	33.3%
1	4	< 0.1%

heart_attack_relative
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	32053
1.0	4206

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	32053	88.4%
1.0	4206	11.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	32053	88.4%
1.0	4206	11.6%

Most occurring characters

Value	Count	Frequency (%)
0	68312	62.8%
.	36259	33.3%
1	4206	3.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	68312	94.2%
1	4206	5.8%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	68312	62.8%
.	36259	33.3%
1	4206	3.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	68312	62.8%
.	36259	33.3%
1	4206	3.9%

asthma_relative
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	28799
1.0	7460

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	28799	79.4%
1.0	7460	20.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	28799	79.4%
1.0	7460	20.6%

Most occurring characters

Value	Count	Frequency (%)
0	65058	59.8%
.	36259	33.3%
1	7460	6.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	65058	89.7%
1	7460	10.3%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	65058	59.8%
.	36259	33.3%
1	7460	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	65058	59.8%
.	36259	33.3%
1	7460	6.9%

diabetes_relative
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	21984
1.0	14275

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	21984	60.6%
1.0	14275	39.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	21984	60.6%
1.0	14275	39.4%

Most occurring characters

Value	Count	Frequency (%)
0	58243	53.5%
.	36259	33.3%
1	14275	13.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	58243	80.3%
1	14275	19.7%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	58243	53.5%
.	36259	33.3%
1	14275	13.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	58243	53.5%
.	36259	33.3%
1	14275	13.1%

hay_fever
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	35815
1.0	444

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	35815	98.8%
1.0	444	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	35815	98.8%
1.0	444	1.2%

Most occurring characters

Value	Count	Frequency (%)
0	72074	66.3%
.	36259	33.3%
1	444	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	72074	99.4%
1	444	0.6%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	72074	66.3%
.	36259	33.3%
1	444	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	72074	66.3%
.	36259	33.3%
1	444	0.4%

arthritis_onset
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	86
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.59731377

Minimum	0
Maximum	85
Zeros	27002
Zeros (%)	74.5%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	14
95-th percentile	64
Maximum	85
Range	85
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	23.06201685
Coefficient of variation (CV)	1.830709092
Kurtosis	0.666210629
Mean	12.59731377
Median Absolute Deviation (MAD)	0
Skewness	1.500282105
Sum	456766
Variance	531.8566214
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	27002	74.5%
50	678	1.9%
60	500	1.4%
40	489	1.3%
55	438	1.2%
45	401	1.1%
65	304	0.8%
70	274	0.8%
35	246	0.7%
30	241	0.7%
Other values (76)	5686	15.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	27002	74.5%
1	6	< 0.1%
2	9	< 0.1%
3	8	< 0.1%
4	8	< 0.1%
5	15	< 0.1%
6	9	< 0.1%
7	10	< 0.1%
8	14	< 0.1%
9	9	< 0.1%

Value	Count	Frequency (%)
85	12	< 0.1%
84	1	< 0.1%
83	2	< 0.1%
82	5	< 0.1%
81	2	< 0.1%
80	196	0.5%
79	34	0.1%
78	57	0.2%
77	45	0.1%
76	50	0.1%

heart_failure_onset
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	77
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.720152238

Minimum	0
Maximum	85
Zeros	35164
Zeros (%)	97.0%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	85
Range	85
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	10.10442933
Coefficient of variation (CV)	5.874148292
Kurtosis	35.25451661
Mean	1.720152238
Median Absolute Deviation (MAD)	0
Skewness	5.985168142
Sum	62371
Variance	102.0994921
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	35164	97.0%
80	60	0.2%
60	51	0.1%
50	49	0.1%
65	47	0.1%
70	47	0.1%
55	39	0.1%
58	31	0.1%
53	30	0.1%
45	29	0.1%
Other values (67)	712	2.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	35164	97.0%
1	5	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
6	3	< 0.1%
10	2	< 0.1%
12	2	< 0.1%
13	1	< 0.1%
15	3	< 0.1%

Value	Count	Frequency (%)
85	6	< 0.1%
84	1	< 0.1%
83	2	< 0.1%
81	2	< 0.1%
80	60	0.2%
79	11	< 0.1%
78	12	< 0.1%
77	5	< 0.1%
76	13	< 0.1%
75	18	< 0.1%

heart_disease_onset
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	76
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.162166634

Minimum	0
Maximum	85
Zeros	34890
Zeros (%)	96.2%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	85
Range	85
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	11.23360833
Coefficient of variation (CV)	5.195533106
Kurtosis	26.21103411
Mean	2.162166634
Median Absolute Deviation (MAD)	0
Skewness	5.216191319
Sum	78398
Variance	126.1939561
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	34890	96.2%
60	74	0.2%
50	67	0.2%
55	66	0.2%
65	54	0.1%
80	49	0.1%
58	46	0.1%
70	43	0.1%
56	43	0.1%
66	40	0.1%
Other values (66)	887	2.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	34890	96.2%
1	1	< 0.1%
3	1	< 0.1%
5	3	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	2	< 0.1%
10	2	< 0.1%
11	5	< 0.1%
12	2	< 0.1%

Value	Count	Frequency (%)
85	4	< 0.1%
82	3	< 0.1%
81	1	< 0.1%
80	49	0.1%
79	12	< 0.1%
78	15	< 0.1%
77	9	< 0.1%
76	14	< 0.1%
75	20	0.1%
74	20	0.1%

angina_onset
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	73
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.260321575

Minimum	0
Maximum	85
Zeros	35387
Zeros (%)	97.6%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	85
Range	85
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	8.359120273
Coefficient of variation (CV)	6.632529694
Kurtosis	47.57952611
Mean	1.260321575
Median Absolute Deviation (MAD)	0
Skewness	6.875207816
Sum	45698
Variance	69.87489174
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	35387	97.6%
60	45	0.1%
50	39	0.1%
45	36	0.1%
40	34	0.1%
55	32	0.1%
58	27	0.1%
59	24	0.1%
35	23	0.1%
46	23	0.1%
Other values (63)	589	1.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	35387	97.6%
7	3	< 0.1%
8	2	< 0.1%
10	3	< 0.1%
12	2	< 0.1%
15	4	< 0.1%
16	4	< 0.1%
17	1	< 0.1%
18	3	< 0.1%
20	7	< 0.1%

Value	Count	Frequency (%)
85	2	< 0.1%
84	2	< 0.1%
82	1	< 0.1%
81	1	< 0.1%
80	18	< 0.1%
79	7	< 0.1%
78	3	< 0.1%
77	9	< 0.1%
76	7	< 0.1%
75	9	< 0.1%

heart_attack_onset
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	73
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.176232108

Minimum	0
Maximum	85
Zeros	34837
Zeros (%)	96.1%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	85
Range	85
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	11.12234436
Coefficient of variation (CV)	5.110826333
Kurtosis	26.08220172
Mean	2.176232108
Median Absolute Deviation (MAD)	0
Skewness	5.180584037
Sum	78908
Variance	123.7065441
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	34837	96.1%
50	62	0.2%
60	60	0.2%
55	58	0.2%
65	47	0.1%
80	47	0.1%
58	43	0.1%
45	41	0.1%
56	40	0.1%
70	39	0.1%
Other values (63)	985	2.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	34837	96.1%
2	1	< 0.1%
10	2	< 0.1%
14	1	< 0.1%
15	2	< 0.1%
16	4	< 0.1%
19	1	< 0.1%
20	7	< 0.1%
21	3	< 0.1%
22	1	< 0.1%

Value	Count	Frequency (%)
85	8	< 0.1%
84	2	< 0.1%
83	2	< 0.1%
82	2	< 0.1%
81	1	< 0.1%
80	47	0.1%
79	10	< 0.1%
78	15	< 0.1%
77	11	< 0.1%
76	10	< 0.1%

stroke_onset
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	79
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.966573816

Minimum	0
Maximum	85
Zeros	35000
Zeros (%)	96.5%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	85
Range	85
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	10.78401004
Coefficient of variation (CV)	5.48365383
Kurtosis	30.62400557
Mean	1.966573816
Median Absolute Deviation (MAD)	0
Skewness	5.592836639
Sum	71306
Variance	116.2948725
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	35000	96.5%
80	75	0.2%
65	53	0.1%
55	45	0.1%
50	45	0.1%
70	43	0.1%
60	39	0.1%
53	36	0.1%
62	35	0.1%
58	34	0.1%
Other values (69)	854	2.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	35000	96.5%
1	2	< 0.1%
2	2	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	3	< 0.1%
10	1	< 0.1%
13	1	< 0.1%

Value	Count	Frequency (%)
85	4	< 0.1%
84	1	< 0.1%
81	2	< 0.1%
80	75	0.2%
79	18	< 0.1%
78	18	< 0.1%
77	13	< 0.1%
76	19	0.1%
75	21	0.1%
74	16	< 0.1%

emphysema_onset
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	74
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.032157533

Minimum	0
Maximum	85
Zeros	35566
Zeros (%)	98.1%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	85
Range	85
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	7.682353009
Coefficient of variation (CV)	7.443004348
Kurtosis	59.92145013
Mean	1.032157533
Median Absolute Deviation (MAD)	0
Skewness	7.708904052
Sum	37425
Variance	59.01854775
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	35566	98.1%
60	41	0.1%
65	33	0.1%
50	31	0.1%
45	31	0.1%
55	28	0.1%
40	24	0.1%
70	23	0.1%
66	18	< 0.1%
58	17	< 0.1%
Other values (64)	447	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	35566	98.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
13	2	< 0.1%
14	2	< 0.1%
16	2	< 0.1%
18	1	< 0.1%

Value	Count	Frequency (%)
85	1	< 0.1%
83	1	< 0.1%
82	2	< 0.1%
81	1	< 0.1%
80	10	< 0.1%
79	4	< 0.1%
78	3	< 0.1%
77	7	< 0.1%
76	7	< 0.1%
75	14	< 0.1%

bronchitis_onset
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	82
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.897101409

Minimum	0
Maximum	85
Zeros	34295
Zeros (%)	94.6%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	7
Maximum	85
Range	85
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	9.252438597
Coefficient of variation (CV)	4.87714497
Kurtosis	31.37586206
Mean	1.897101409
Median Absolute Deviation (MAD)	0
Skewness	5.497210681
Sum	68787
Variance	85.60761998
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	34295	94.6%
16	114	0.3%
50	86	0.2%
40	83	0.2%
30	74	0.2%
35	61	0.2%
25	58	0.2%
20	51	0.1%
55	49	0.1%
60	44	0.1%
Other values (72)	1344	3.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	34295	94.6%
1	31	0.1%
2	17	< 0.1%
3	12	< 0.1%
4	18	< 0.1%
5	30	0.1%
6	23	0.1%
7	25	0.1%
8	27	0.1%
9	15	< 0.1%

Value	Count	Frequency (%)
85	2	< 0.1%
80	19	0.1%
79	2	< 0.1%
78	8	< 0.1%
77	3	< 0.1%
76	9	< 0.1%
75	13	< 0.1%
74	9	< 0.1%
73	12	< 0.1%
72	7	< 0.1%

liver_condition_onset
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	81
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.598085992

Minimum	0
Maximum	82
Zeros	34879
Zeros (%)	96.2%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	82
Range	82
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	8.687700538
Coefficient of variation (CV)	5.436316055
Kurtosis	34.4114687
Mean	1.598085992
Median Absolute Deviation (MAD)	0
Skewness	5.814174448
Sum	57945
Variance	75.47614064
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	34879	96.2%
35	60	0.2%
45	58	0.2%
40	53	0.1%
50	49	0.1%
30	39	0.1%
55	39	0.1%
60	38	0.1%
25	33	0.1%
42	31	0.1%
Other values (71)	980	2.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	34879	96.2%
1	4	< 0.1%
3	1	< 0.1%
4	2	< 0.1%
5	3	< 0.1%
6	7	< 0.1%
7	8	< 0.1%
8	5	< 0.1%
9	4	< 0.1%
10	11	< 0.1%

Value	Count	Frequency (%)
82	1	< 0.1%
80	10	< 0.1%
79	3	< 0.1%
78	3	< 0.1%
77	3	< 0.1%
76	2	< 0.1%
75	4	< 0.1%
74	6	< 0.1%
73	7	< 0.1%
72	3	< 0.1%

thyroid_problem_onset
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	84
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.216497973

Minimum	0
Maximum	85
Zeros	32795
Zeros (%)	90.4%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	42
Maximum	85
Range	85
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	14.12490136
Coefficient of variation (CV)	3.349912996
Kurtosis	11.36041647
Mean	4.216497973
Median Absolute Deviation (MAD)	0
Skewness	3.476290574
Sum	152886
Variance	199.5128383
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	32795	90.4%
40	166	0.5%
50	161	0.4%
30	144	0.4%
45	112	0.3%
35	112	0.3%
55	107	0.3%
60	102	0.3%
25	88	0.2%
80	87	0.2%
Other values (74)	2385	6.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	32795	90.4%
1	2	< 0.1%
2	3	< 0.1%
4	1	< 0.1%
5	9	< 0.1%
6	1	< 0.1%
7	7	< 0.1%
8	9	< 0.1%
9	5	< 0.1%
10	11	< 0.1%

Value	Count	Frequency (%)
85	3	< 0.1%
84	1	< 0.1%
83	1	< 0.1%
82	2	< 0.1%
80	87	0.2%
79	10	< 0.1%
78	12	< 0.1%
77	19	0.1%
76	17	< 0.1%
75	44	0.1%

cancer_onset
Real number (ℝ_≥0)

ZEROS

Distinct	65
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.7822609559

Minimum	0
Maximum	85
Zeros	35750
Zeros (%)	98.6%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	85
Range	85
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	6.823851538
Coefficient of variation (CV)	8.723241888
Kurtosis	84.41872073
Mean	0.7822609559
Median Absolute Deviation (MAD)	0
Skewness	9.106085267
Sum	28364
Variance	46.56494981
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	35750	98.6%
80	33	0.1%
50	20	0.1%
60	16	< 0.1%
64	15	< 0.1%
59	15	< 0.1%
65	15	< 0.1%
62	14	< 0.1%
55	14	< 0.1%
63	14	< 0.1%
Other values (55)	353	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	35750	98.6%
16	3	< 0.1%
17	1	< 0.1%
19	2	< 0.1%
20	4	< 0.1%
21	2	< 0.1%
22	4	< 0.1%
23	3	< 0.1%
24	2	< 0.1%
25	3	< 0.1%

Value	Count	Frequency (%)
85	1	< 0.1%
80	33	0.1%
79	5	< 0.1%
78	5	< 0.1%
77	3	< 0.1%
76	8	< 0.1%
75	12	< 0.1%
74	7	< 0.1%
73	5	< 0.1%
72	8	< 0.1%

arthritis_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

Missing	29748
Osteoarthritis	3576
Rheumatoid	1797
Other	1057
Psoriatic	81

Length

Max length	14
Median length	7
Mean length	7.785211947
Min length	5

Characters and Unicode

Total characters	282284
Distinct characters	18
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Missing
2nd row	Missing
3rd row	Missing
4th row	Missing
5th row	Missing

Common Values

Value	Count	Frequency (%)
Missing	29748	82.0%
Osteoarthritis	3576	9.9%
Rheumatoid	1797	5.0%
Other	1057	2.9%
Psoriatic	81	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
missing	29748	82.0%
osteoarthritis	3576	9.9%
rheumatoid	1797	5.0%
other	1057	2.9%
psoriatic	81	0.2%

Most occurring characters

Value	Count	Frequency (%)
i	68607	24.3%
s	66729	23.6%
M	29748	10.5%
n	29748	10.5%
g	29748	10.5%
t	13663	4.8%
r	8290	2.9%
h	6430	2.3%
e	6430	2.3%
a	5454	1.9%
Other values (8)	17437	6.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	246025	87.2%
Uppercase Letter	36259	12.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	68607	27.9%
s	66729	27.1%
n	29748	12.1%
g	29748	12.1%
t	13663	5.6%
r	8290	3.4%
h	6430	2.6%
e	6430	2.6%
a	5454	2.2%
o	5454	2.2%
Other values (4)	5472	2.2%

Uppercase Letter

Value	Count	Frequency (%)
M	29748	82.0%
O	4633	12.8%
R	1797	5.0%
P	81	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	282284	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	68607	24.3%
s	66729	23.6%
M	29748	10.5%
n	29748	10.5%
g	29748	10.5%
t	13663	4.8%
r	8290	2.9%
h	6430	2.3%
e	6430	2.3%
a	5454	1.9%
Other values (8)	17437	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	282284	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	68607	24.3%
s	66729	23.6%
M	29748	10.5%
n	29748	10.5%
g	29748	10.5%
t	13663	4.8%
r	8290	2.9%
h	6430	2.3%
e	6430	2.3%
a	5454	1.9%
Other values (8)	17437	6.2%

first_cancer_count
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	33001
1.0	3258

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	33001	91.0%
1.0	3258	9.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	33001	91.0%
1.0	3258	9.0%

Most occurring characters

Value	Count	Frequency (%)
0	69260	63.7%
.	36259	33.3%
1	3258	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	69260	95.5%
1	3258	4.5%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	69260	63.7%
.	36259	33.3%
1	3258	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	69260	63.7%
.	36259	33.3%
1	3258	3.0%

second_cancer_count
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	35918
1.0	341

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	35918	99.1%
1.0	341	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	35918	99.1%
1.0	341	0.9%

Most occurring characters

Value	Count	Frequency (%)
0	72177	66.4%
.	36259	33.3%
1	341	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	72177	99.5%
1	341	0.5%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	72177	66.4%
.	36259	33.3%
1	341	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	72177	66.4%
.	36259	33.3%
1	341	0.3%

third_cancer_count
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	36220
1.0	39

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	36220	99.9%
1.0	39	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	36220	99.9%
1.0	39	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	72479	66.6%
.	36259	33.3%
1	39	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	72479	99.9%
1	39	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	72479	66.6%
.	36259	33.3%
1	39	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	72479	66.6%
.	36259	33.3%
1	39	< 0.1%

weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1372
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	80.86443642

Minimum	0
Maximum	371
Zeros	332
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	51.6
Q1	66
median	78.2
Q3	92.7
95-th percentile	121.6
Maximum	371
Range	371
Interquartile range (IQR)	26.7

Descriptive statistics

Standard deviation	23.05759459
Coefficient of variation (CV)	0.285138877
Kurtosis	3.550191507
Mean	80.86443642
Median Absolute Deviation (MAD)	13.2
Skewness	0.6860359384
Sum	2932063.6
Variance	531.6526684
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	332	0.9%
73.8	95	0.3%
78.6	94	0.3%
79.3	93	0.3%
77.3	91	0.3%
65.3	91	0.3%
69.2	91	0.3%
72.1	90	0.2%
71.7	89	0.2%
75	89	0.2%
Other values (1362)	35104	96.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	332	0.9%
29.1	1	< 0.1%
32.3	1	< 0.1%
32.4	2	< 0.1%
32.8	1	< 0.1%
33.2	1	< 0.1%
34.7	1	< 0.1%
35.2	1	< 0.1%
35.9	1	< 0.1%
36	1	< 0.1%

Value	Count	Frequency (%)
371	1	< 0.1%
259.5	1	< 0.1%
242.6	1	< 0.1%
239.4	1	< 0.1%
230.7	1	< 0.1%
223	1	< 0.1%
222.6	1	< 0.1%
219.6	1	< 0.1%
218.6	1	< 0.1%
218.2	1	< 0.1%

height
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	617
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	165.7644717

Minimum	0
Maximum	204.5
Zeros	328
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	150.5
Q1	159.7
median	166.9
Q3	174.5
95-th percentile	184.1
Maximum	204.5
Range	204.5
Interquartile range (IQR)	14.8

Descriptive statistics

Standard deviation	18.76785245
Coefficient of variation (CV)	0.1132199937
Kurtosis	52.29606899
Mean	165.7644717
Median Absolute Deviation (MAD)	7.4
Skewness	-6.147017842
Sum	6010453.98
Variance	352.2322856
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	328	0.9%
164.9	163	0.4%
161.7	151	0.4%
165.5	148	0.4%
165.1	145	0.4%
168.4	145	0.4%
167.7	145	0.4%
167.4	144	0.4%
160.6	143	0.4%
165.9	143	0.4%
Other values (607)	34604	95.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	328	0.9%
123.3	1	< 0.1%
134.5	1	< 0.1%
135.3	1	< 0.1%
135.4	1	< 0.1%
136.1	1	< 0.1%
136.3	1	< 0.1%
136.5	1	< 0.1%
137.3	1	< 0.1%
137.4	1	< 0.1%

Value	Count	Frequency (%)
204.5	1	< 0.1%
204.1	1	< 0.1%
203.8	1	< 0.1%
202.7	3	< 0.1%
202.6	1	< 0.1%
201.7	1	< 0.1%
201.6	1	< 0.1%
201	1	< 0.1%
200.7	1	< 0.1%
200.4	1	< 0.1%

BMI
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	3139
Distinct (%)	8.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	28.77315729

Minimum	0
Maximum	130.21
Zeros	386
Zeros (%)	1.1%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	19.6
Q1	24.045
median	27.86
Q3	32.5
95-th percentile	42.071
Maximum	130.21
Range	130.21
Interquartile range (IQR)	8.455

Descriptive statistics

Standard deviation	7.60542893
Coefficient of variation (CV)	0.2643237534
Kurtosis	4.560279278
Mean	28.77315729
Median Absolute Deviation (MAD)	4.14
Skewness	0.5665297884
Sum	1043285.91
Variance	57.84254921
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	386	1.1%
26.1	163	0.4%
28	163	0.4%
26.6	161	0.4%
25.8	157	0.4%
28.9	157	0.4%
23.9	155	0.4%
27.9	154	0.4%
26.2	154	0.4%
27.8	153	0.4%
Other values (3129)	34456	95.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	386	1.1%
13.18	1	< 0.1%
13.36	1	< 0.1%
13.4	1	< 0.1%
13.6	1	< 0.1%
14.1	1	< 0.1%
14.2	2	< 0.1%
14.3	1	< 0.1%
14.5	1	< 0.1%
14.59	1	< 0.1%

Value	Count	Frequency (%)
130.21	1	< 0.1%
86.2	1	< 0.1%
84.4	1	< 0.1%
82.9	1	< 0.1%
82.1	1	< 0.1%
81.25	1	< 0.1%
77.5	1	< 0.1%
76.07	1	< 0.1%
74.8	1	< 0.1%
74.1	1	< 0.1%

pulse
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	58
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.28602554

Minimum	0
Maximum	224
Zeros	728
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	54
Q1	64
median	72
Q3	80
95-th percentile	94
Maximum	224
Range	224
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	15.74826499
Coefficient of variation (CV)	0.2209165803
Kurtosis	7.355700398
Mean	71.28602554
Median Absolute Deviation (MAD)	8
Skewness	-1.38234814
Sum	2584760
Variance	248.0078501
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
70	2527	7.0%
72	2392	6.6%
74	2361	6.5%
68	2360	6.5%
66	2290	6.3%
64	2160	6.0%
76	2059	5.7%
78	1921	5.3%
62	1891	5.2%
60	1822	5.0%
Other values (48)	14476	39.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	728	2.0%
34	1	< 0.1%
36	2	< 0.1%
40	12	< 0.1%
42	17	< 0.1%
44	44	0.1%
46	79	0.2%
48	144	0.4%
50	277	0.8%
52	424	1.2%

Value	Count	Frequency (%)
224	1	< 0.1%
220	1	< 0.1%
172	1	< 0.1%
166	1	< 0.1%
160	1	< 0.1%
142	1	< 0.1%
140	3	< 0.1%
136	5	< 0.1%
134	1	< 0.1%
132	2	< 0.1%

irregular_pulse
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	35262
1.0	997

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	35262	97.3%
1.0	997	2.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	35262	97.3%
1.0	997	2.7%

Most occurring characters

Value	Count	Frequency (%)
0	71521	65.8%
.	36259	33.3%
1	997	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71521	98.6%
1	997	1.4%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71521	65.8%
.	36259	33.3%
1	997	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71521	65.8%
.	36259	33.3%
1	997	0.9%

systolic
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	86
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	115.4648501

Minimum	0
Maximum	270
Zeros	2530
Zeros (%)	7.0%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	108
median	120
Q3	132
95-th percentile	158
Maximum	270
Range	270
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	36.4544135
Coefficient of variation (CV)	0.3157187098
Kurtosis	4.572251902
Mean	115.4648501
Median Absolute Deviation (MAD)	12
Skewness	-1.892400969
Sum	4186640
Variance	1328.924264
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2530	7.0%
116	1934	5.3%
114	1886	5.2%
124	1669	4.6%
118	1657	4.6%
126	1595	4.4%
112	1504	4.1%
120	1500	4.1%
122	1486	4.1%
110	1422	3.9%
Other values (76)	19076	52.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2530	7.0%
66	1	< 0.1%
72	2	< 0.1%
74	3	< 0.1%
78	2	< 0.1%
80	6	< 0.1%
82	15	< 0.1%
84	24	0.1%
86	39	0.1%
88	58	0.2%

Value	Count	Frequency (%)
270	1	< 0.1%
256	1	< 0.1%
238	1	< 0.1%
236	1	< 0.1%
232	1	< 0.1%
230	3	< 0.1%
228	3	< 0.1%
226	1	< 0.1%
224	2	< 0.1%
222	2	< 0.1%

diastolic
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	61
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	64.98199068

Minimum	0
Maximum	134
Zeros	2724
Zeros (%)	7.5%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	60
median	70
Q3	78
95-th percentile	90
Maximum	134
Range	134
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	21.90688756
Coefficient of variation (CV)	0.3371224447
Kurtosis	3.24796726
Mean	64.98199068
Median Absolute Deviation (MAD)	8
Skewness	-1.739634619
Sum	2356182
Variance	479.9117227
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2724	7.5%
72	2412	6.7%
74	2403	6.6%
70	2171	6.0%
68	2170	6.0%
66	2115	5.8%
76	2114	5.8%
64	2051	5.7%
62	1817	5.0%
78	1774	4.9%
Other values (51)	14508	40.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2724	7.5%
4	2	< 0.1%
6	1	< 0.1%
10	2	< 0.1%
12	2	< 0.1%
14	2	< 0.1%
18	4	< 0.1%
20	6	< 0.1%
22	10	< 0.1%
24	4	< 0.1%

Value	Count	Frequency (%)
134	1	< 0.1%
124	3	< 0.1%
122	2	< 0.1%
120	9	< 0.1%
118	6	< 0.1%
116	8	< 0.1%
114	15	< 0.1%
112	13	< 0.1%
110	26	0.1%
108	37	0.1%

albumin
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	38
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.998571389

Minimum	0
Maximum	5.6
Zeros	1915
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4
median	4.2
Q3	4.4
95-th percentile	4.8
Maximum	5.6
Range	5.6
Interquartile range (IQR)	0.4

Descriptive statistics

Standard deviation	1.007912406
Coefficient of variation (CV)	0.2520681283
Kurtosis	10.17216305
Mean	3.998571389
Median Absolute Deviation (MAD)	0.2
Skewness	-3.229492041
Sum	144984.2
Variance	1.015887418
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
4.2	4103	11.3%
4.3	4040	11.1%
4.4	3697	10.2%
4.1	3644	10.0%
4.5	3082	8.5%
4	3081	8.5%
3.9	2295	6.3%
4.6	2271	6.3%
0	1915	5.3%
3.8	1637	4.5%
Other values (28)	6494	17.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1915	5.3%
1.2	1	< 0.1%
2	1	< 0.1%
2.1	2	< 0.1%
2.3	2	< 0.1%
2.4	4	< 0.1%
2.5	6	< 0.1%
2.6	19	0.1%
2.7	26	0.1%
2.8	37	0.1%

Value	Count	Frequency (%)
5.6	1	< 0.1%
5.5	3	< 0.1%
5.4	9	< 0.1%
5.3	25	0.1%
5.2	62	0.2%
5.1	128	0.4%
5	284	0.8%
4.9	505	1.4%
4.8	970	2.7%
4.7	1574	4.3%

ALT
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	214
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.50555724

Minimum	0
Maximum	1363
Zeros	1999
Zeros (%)	5.5%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	15
median	20
Q3	27
95-th percentile	51
Maximum	1363
Range	1363
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	20.12851563
Coefficient of variation (CV)	0.8563300763
Kurtosis	655.6707779
Mean	23.50555724
Median Absolute Deviation (MAD)	6
Skewness	14.01527795
Sum	852288
Variance	405.1571413
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1999	5.5%
17	1926	5.3%
16	1923	5.3%
15	1886	5.2%
18	1863	5.1%
19	1837	5.1%
14	1762	4.9%
20	1641	4.5%
21	1578	4.4%
13	1500	4.1%
Other values (204)	18344	50.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1999	5.5%
3	3	< 0.1%
4	2	< 0.1%
5	12	< 0.1%
6	31	0.1%
7	92	0.3%
8	168	0.5%
9	308	0.8%
10	518	1.4%
11	818	2.3%

Value	Count	Frequency (%)
1363	1	< 0.1%
819	1	< 0.1%
536	1	< 0.1%
443	1	< 0.1%
420	1	< 0.1%
393	1	< 0.1%
343	1	< 0.1%
329	1	< 0.1%
319	1	< 0.1%
317	1	< 0.1%

AST
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	193
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.904603

Minimum	0
Maximum	882
Zeros	2016
Zeros (%)	5.6%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	18
median	22
Q3	27
95-th percentile	41
Maximum	882
Range	882
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	16.56345311
Coefficient of variation (CV)	0.692898063
Kurtosis	536.4162419
Mean	23.904603
Median Absolute Deviation (MAD)	4
Skewness	14.58863626
Sum	866757
Variance	274.347979
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
21	2489	6.9%
20	2462	6.8%
22	2391	6.6%
19	2316	6.4%
23	2250	6.2%
18	2087	5.8%
0	2016	5.6%
24	1955	5.4%
25	1793	4.9%
17	1772	4.9%
Other values (183)	14728	40.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2016	5.6%
7	3	< 0.1%
8	6	< 0.1%
9	11	< 0.1%
10	43	0.1%
11	82	0.2%
12	174	0.5%
13	346	1.0%
14	576	1.6%
15	932	2.6%

Value	Count	Frequency (%)
882	1	< 0.1%
832	1	< 0.1%
733	1	< 0.1%
597	1	< 0.1%
400	1	< 0.1%
338	1	< 0.1%
329	1	< 0.1%
310	1	< 0.1%
302	1	< 0.1%
296	1	< 0.1%

ALP
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	249
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	67.26316225

Minimum	0
Maximum	907
Zeros	1923
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	53
median	66
Q3	81
95-th percentile	111
Maximum	907
Range	907
Interquartile range (IQR)	28

Descriptive statistics

Standard deviation	29.46757058
Coefficient of variation (CV)	0.438093744
Kurtosis	45.84184314
Mean	67.26316225
Median Absolute Deviation (MAD)	14
Skewness	2.411201057
Sum	2438895
Variance	868.337716
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1923	5.3%
61	754	2.1%
65	746	2.1%
59	719	2.0%
63	711	2.0%
66	704	1.9%
67	703	1.9%
62	702	1.9%
64	699	1.9%
55	696	1.9%
Other values (239)	27902	77.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1923	5.3%
7	1	< 0.1%
9	1	< 0.1%
14	4	< 0.1%
15	1	< 0.1%
16	3	< 0.1%
18	1	< 0.1%
20	3	< 0.1%
21	3	< 0.1%
22	10	< 0.1%

Value	Count	Frequency (%)
907	1	< 0.1%
729	1	< 0.1%
646	1	< 0.1%
638	1	< 0.1%
633	1	< 0.1%
626	1	< 0.1%
384	1	< 0.1%
377	1	< 0.1%
352	1	< 0.1%
349	1	< 0.1%

BUN
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	78
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.79351333

Minimum	0
Maximum	98
Zeros	1921
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	9
median	12
Q3	16
95-th percentile	23
Maximum	98
Range	98
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	6.548530698
Coefficient of variation (CV)	0.5118633581
Kurtosis	11.56809769
Mean	12.79351333
Median Absolute Deviation (MAD)	3
Skewness	1.746549097
Sum	463880
Variance	42.8832543
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11	3209	8.9%
12	3155	8.7%
13	3000	8.3%
10	2968	8.2%
9	2597	7.2%
14	2558	7.1%
15	2293	6.3%
8	1981	5.5%
16	1924	5.3%
0	1921	5.3%
Other values (68)	10653	29.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1921	5.3%
1	5	< 0.1%
2	30	0.1%
3	98	0.3%
4	228	0.6%
5	477	1.3%
6	875	2.4%
7	1419	3.9%
8	1981	5.5%
9	2597	7.2%

Value	Count	Frequency (%)
98	1	< 0.1%
96	1	< 0.1%
95	2	< 0.1%
90	1	< 0.1%
86	1	< 0.1%
81	1	< 0.1%
79	1	< 0.1%
74	1	< 0.1%
73	2	< 0.1%
72	2	< 0.1%

calcium
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	54
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.900228909

Minimum	0
Maximum	14.8
Zeros	1950
Zeros (%)	5.4%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	9.1
median	9.4
Q3	9.6
95-th percentile	10
Maximum	14.8
Range	14.8
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	2.152408788
Coefficient of variation (CV)	0.241837464
Kurtosis	12.74437859
Mean	8.900228909
Median Absolute Deviation (MAD)	0.2
Skewness	-3.768865346
Sum	322713.4
Variance	4.632863591
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.4	4012	11.1%
9.3	3785	10.4%
9.5	3741	10.3%
9.2	3419	9.4%
9.6	3296	9.1%
9.1	2771	7.6%
9.7	2577	7.1%
9	1994	5.5%
0	1950	5.4%
9.8	1935	5.3%
Other values (44)	6779	18.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1950	5.4%
6.4	1	< 0.1%
6.5	1	< 0.1%
6.6	1	< 0.1%
6.9	2	< 0.1%
7	1	< 0.1%
7.2	1	< 0.1%
7.3	1	< 0.1%
7.5	1	< 0.1%
7.6	2	< 0.1%

Value	Count	Frequency (%)
14.8	1	< 0.1%
12.7	1	< 0.1%
12.1	2	< 0.1%
12	2	< 0.1%
11.7	1	< 0.1%
11.5	4	< 0.1%
11.4	3	< 0.1%
11.3	3	< 0.1%
11.2	4	< 0.1%
11.1	10	< 0.1%

CO2
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	29
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.6839957

Minimum	0
Maximum	43
Zeros	1992
Zeros (%)	5.5%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	23
median	25
Q3	26
95-th percentile	29
Maximum	43
Range	43
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	6.140146267
Coefficient of variation (CV)	0.2592529717
Kurtosis	9.2755981
Mean	23.6839957
Median Absolute Deviation (MAD)	2
Skewness	-3.054631438
Sum	858758
Variance	37.70139618
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
25	6108	16.8%
26	5718	15.8%
24	5269	14.5%
27	4354	12.0%
23	3749	10.3%
28	2622	7.2%
22	2285	6.3%
0	1992	5.5%
29	1215	3.4%
21	1200	3.3%
Other values (19)	1747	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1992	5.5%
10	1	< 0.1%
13	1	< 0.1%
14	1	< 0.1%
15	4	< 0.1%
16	14	< 0.1%
17	23	0.1%
18	99	0.3%
19	251	0.7%
20	538	1.5%

Value	Count	Frequency (%)
43	1	< 0.1%
40	1	< 0.1%
38	4	< 0.1%
37	3	< 0.1%
35	10	< 0.1%
34	16	< 0.1%
33	23	0.1%
32	66	0.2%
31	164	0.5%
30	527	1.5%

creatinine
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	369
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.8549488403

Minimum	0
Maximum	17.8
Zeros	1917
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.7
median	0.83
Q3	1
95-th percentile	1.31
Maximum	17.8
Range	17.8
Interquartile range (IQR)	0.3

Descriptive statistics

Standard deviation	0.4745326014
Coefficient of variation (CV)	0.555042102
Kurtosis	239.3340584
Mean	0.8549488403
Median Absolute Deviation (MAD)	0.15
Skewness	10.27375417
Sum	30999.59
Variance	0.2251811898
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1917	5.3%
0.8	1360	3.8%
0.9	1326	3.7%
0.7	1061	2.9%
1	1052	2.9%
0.82	984	2.7%
0.72	920	2.5%
0.92	844	2.3%
1.1	706	1.9%
0.6	650	1.8%
Other values (359)	25439	70.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1917	5.3%
0.16	1	< 0.1%
0.25	1	< 0.1%
0.29	1	< 0.1%
0.3	3	< 0.1%
0.31	2	< 0.1%
0.32	6	< 0.1%
0.33	5	< 0.1%
0.34	4	< 0.1%
0.35	3	< 0.1%

Value	Count	Frequency (%)
17.8	1	< 0.1%
17.41	1	< 0.1%
16.64	1	< 0.1%
15.66	1	< 0.1%
12.74	1	< 0.1%
12.48	1	< 0.1%
10.98	1	< 0.1%
10.35	1	< 0.1%
10.22	1	< 0.1%
9.66	1	< 0.1%

GGT
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	382
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.50015169

Minimum	0
Maximum	1681
Zeros	1923
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	13
median	19
Q3	29
95-th percentile	70
Maximum	1681
Range	1681
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	41.31718983
Coefficient of variation (CV)	1.502434979
Kurtosis	288.9590301
Mean	27.50015169
Median Absolute Deviation (MAD)	7
Skewness	12.49961296
Sum	997128
Variance	1707.110176
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1923	5.3%
15	1663	4.6%
14	1643	4.5%
13	1604	4.4%
16	1526	4.2%
12	1524	4.2%
17	1518	4.2%
18	1446	4.0%
11	1351	3.7%
19	1322	3.6%
Other values (372)	20739	57.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1923	5.3%
2	1	< 0.1%
3	1	< 0.1%
4	17	< 0.1%
5	128	0.4%
6	210	0.6%
7	367	1.0%
8	617	1.7%
9	878	2.4%
10	1133	3.1%

Value	Count	Frequency (%)
1681	1	< 0.1%
1479	1	< 0.1%
1363	1	< 0.1%
1197	1	< 0.1%
1192	1	< 0.1%
1136	1	< 0.1%
1116	1	< 0.1%
1061	1	< 0.1%
1012	1	< 0.1%
908	1	< 0.1%

glucose
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	403
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	96.82412642

Minimum	0
Maximum	777
Zeros	1917
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	84
median	92
Q3	103
95-th percentile	160
Maximum	777
Range	777
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	44.27838356
Coefficient of variation (CV)	0.4573073386
Kurtosis	19.40296772
Mean	96.82412642
Median Absolute Deviation (MAD)	9
Skewness	2.713582949
Sum	3510746
Variance	1960.575251
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1917	5.3%
88	1186	3.3%
90	1177	3.2%
89	1172	3.2%
91	1162	3.2%
87	1152	3.2%
92	1128	3.1%
86	1076	3.0%
93	1068	2.9%
85	1033	2.8%
Other values (393)	24188	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1917	5.3%
19	1	< 0.1%
33	1	< 0.1%
34	1	< 0.1%
35	1	< 0.1%
38	1	< 0.1%
40	1	< 0.1%
41	2	< 0.1%
42	1	< 0.1%
43	3	< 0.1%

Value	Count	Frequency (%)
777	1	< 0.1%
626	1	< 0.1%
617	1	< 0.1%
610	1	< 0.1%
605	1	< 0.1%
577	1	< 0.1%
568	1	< 0.1%
567	1	< 0.1%
559	1	< 0.1%
554	1	< 0.1%

iron
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	285
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	80.29352712

Minimum	0
Maximum	476
Zeros	1955
Zeros (%)	5.4%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	57
median	78
Q3	103
95-th percentile	147
Maximum	476
Range	476
Interquartile range (IQR)	46

Descriptive statistics

Standard deviation	39.7171105
Coefficient of variation (CV)	0.4946489701
Kurtosis	1.946349957
Mean	80.29352712
Median Absolute Deviation (MAD)	23
Skewness	0.5187356693
Sum	2911363
Variance	1577.448866
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1955	5.4%
68	467	1.3%
79	455	1.3%
63	452	1.2%
76	447	1.2%
71	439	1.2%
67	439	1.2%
87	433	1.2%
84	432	1.2%
81	432	1.2%
Other values (275)	30308	83.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1955	5.4%
2	1	< 0.1%
5	1	< 0.1%
6	2	< 0.1%
7	8	< 0.1%
8	5	< 0.1%
9	7	< 0.1%
10	21	0.1%
11	19	0.1%
12	15	< 0.1%

Value	Count	Frequency (%)
476	1	< 0.1%
428	1	< 0.1%
387	1	< 0.1%
382	1	< 0.1%
343	1	< 0.1%
325	1	< 0.1%
315	2	< 0.1%
302	1	< 0.1%
300	1	< 0.1%
299	1	< 0.1%

LHD
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	307
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	125.8677846

Minimum	0
Maximum	1539
Zeros	2106
Zeros (%)	5.8%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	110
median	127
Q3	147
95-th percentile	184
Maximum	1539
Range	1539
Interquartile range (IQR)	37

Descriptive statistics

Standard deviation	44.8916452
Coefficient of variation (CV)	0.3566571491
Kurtosis	52.83403444
Mean	125.8677846
Median Absolute Deviation (MAD)	18
Skewness	1.383721903
Sum	4563840
Variance	2015.259809
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2106	5.8%
121	609	1.7%
120	594	1.6%
122	570	1.6%
123	569	1.6%
131	565	1.6%
125	546	1.5%
119	527	1.5%
118	526	1.5%
134	523	1.4%
Other values (297)	29124	80.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2106	5.8%
4	1	< 0.1%
32	1	< 0.1%
37	1	< 0.1%
38	1	< 0.1%
39	1	< 0.1%
46	2	< 0.1%
50	3	< 0.1%
51	3	< 0.1%
52	5	< 0.1%

Value	Count	Frequency (%)
1539	1	< 0.1%
1274	1	< 0.1%
1092	1	< 0.1%
779	1	< 0.1%
759	1	< 0.1%
726	1	< 0.1%
673	1	< 0.1%
581	1	< 0.1%
577	1	< 0.1%
552	1	< 0.1%

phosphorus
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	65
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.54431617

Minimum	0
Maximum	10.9
Zeros	1923
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3.3
median	3.7
Q3	4.1
95-th percentile	4.7
Maximum	10.9
Range	10.9
Interquartile range (IQR)	0.8

Descriptive statistics

Standard deviation	1.006365554
Coefficient of variation (CV)	0.2839378617
Kurtosis	5.797482153
Mean	3.54431617
Median Absolute Deviation (MAD)	0.4
Skewness	-2.059543844
Sum	128513.36
Variance	1.012771629
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.6	2534	7.0%
3.8	2501	6.9%
3.7	2486	6.9%
3.5	2358	6.5%
3.9	2313	6.4%
3.4	2153	5.9%
4	2149	5.9%
0	1923	5.3%
4.1	1886	5.2%
3.3	1876	5.2%
Other values (55)	14080	38.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1923	5.3%
1	1	< 0.1%
1.5	1	< 0.1%
1.6	1	< 0.1%
1.7	2	< 0.1%
1.8	9	< 0.1%
1.9	9	< 0.1%
2	17	< 0.1%
2.1	24	0.1%
2.2	46	0.1%

Value	Count	Frequency (%)
10.9	1	< 0.1%
9.6	1	< 0.1%
8.9	1	< 0.1%
8.2	1	< 0.1%
8.1	2	< 0.1%
7.6	1	< 0.1%
7.5	2	< 0.1%
7.2	2	< 0.1%
6.9	1	< 0.1%
6.7	3	< 0.1%

bilirubin
Real number (ℝ_≥0)

ZEROS

Distinct	56
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.6249670427

Minimum	0
Maximum	13.1
Zeros	1939
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.4
median	0.6
Q3	0.8
95-th percentile	1.2
Maximum	13.1
Range	13.1
Interquartile range (IQR)	0.4

Descriptive statistics

Standard deviation	0.346267444
Coefficient of variation (CV)	0.5540571269
Kurtosis	57.87652832
Mean	0.6249670427
Median Absolute Deviation (MAD)	0.2
Skewness	2.71240802
Sum	22660.68
Variance	0.1199011428
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.6	5511	15.2%
0.5	5235	14.4%
0.7	4749	13.1%
0.4	3974	11.0%
0.8	3673	10.1%
0.3	2525	7.0%
0.9	2340	6.5%
0	1939	5.3%
1	1575	4.3%
0.2	1342	3.7%
Other values (46)	3396	9.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1939	5.3%
5.397605347 × 10^-79	19	0.1%
0.01	4	< 0.1%
0.02	4	< 0.1%
0.03	1	< 0.1%
0.04	2	< 0.1%
0.05	4	< 0.1%
0.06	2	< 0.1%
0.07	3	< 0.1%
0.08	4	< 0.1%

Value	Count	Frequency (%)
13.1	1	< 0.1%
7.3	1	< 0.1%
7.1	1	< 0.1%
4.4	1	< 0.1%
4.1	1	< 0.1%
3.9	1	< 0.1%
3.6	2	< 0.1%
3.3	2	< 0.1%
3.2	2	< 0.1%
3.1	2	< 0.1%

total_protein
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	59
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.762011638

Minimum	0
Maximum	11.3
Zeros	1966
Zeros (%)	5.4%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	6.8
median	7.1
Q3	7.4
95-th percentile	7.9
Maximum	11.3
Range	11.3
Interquartile range (IQR)	0.6

Descriptive statistics

Standard deviation	1.68397923
Coefficient of variation (CV)	0.2490352457
Kurtosis	11.15567277
Mean	6.762011638
Median Absolute Deviation (MAD)	0.3
Skewness	-3.443630819
Sum	245183.78
Variance	2.835786046
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.2	3067	8.5%
7.1	2983	8.2%
7	2961	8.2%
7.3	2755	7.6%
6.9	2654	7.3%
7.4	2511	6.9%
6.8	2259	6.2%
7.5	2177	6.0%
0	1966	5.4%
6.7	1826	5.0%
Other values (49)	11100	30.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1966	5.4%
3.4	1	< 0.1%
4.7	2	< 0.1%
4.9	1	< 0.1%
5.1	1	< 0.1%
5.2	2	< 0.1%
5.3	11	< 0.1%
5.38	1	< 0.1%
5.4	6	< 0.1%
5.5	22	0.1%

Value	Count	Frequency (%)
11.3	1	< 0.1%
10.9	1	< 0.1%
10.8	1	< 0.1%
10.4	1	< 0.1%
10.3	1	< 0.1%
10.1	3	< 0.1%
10	1	< 0.1%
9.9	1	< 0.1%
9.7	1	< 0.1%
9.5	2	< 0.1%

uric_acid
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	124
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.152086379

Minimum	0
Maximum	18
Zeros	1927
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4.2
median	5.2
Q3	6.3
95-th percentile	7.9
Maximum	18
Range	18
Interquartile range (IQR)	2.1

Descriptive statistics

Standard deviation	1.862481096
Coefficient of variation (CV)	0.361500363
Kurtosis	1.665349375
Mean	5.152086379
Median Absolute Deviation (MAD)	1
Skewness	-0.6094062417
Sum	186809.5
Variance	3.468835834
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1927	5.3%
5.3	985	2.7%
5.2	982	2.7%
4.9	954	2.6%
4.6	951	2.6%
5.4	951	2.6%
5.5	943	2.6%
4.8	911	2.5%
5	910	2.5%
5.6	907	2.5%
Other values (114)	25838	71.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1927	5.3%
0.4	1	< 0.1%
0.5	1	< 0.1%
0.7	1	< 0.1%
0.8	2	< 0.1%
1.1	1	< 0.1%
1.2	1	< 0.1%
1.4	1	< 0.1%
1.5	1	< 0.1%
1.6	4	< 0.1%

Value	Count	Frequency (%)
18	1	< 0.1%
17.6	1	< 0.1%
15.1	1	< 0.1%
13.7	1	< 0.1%
13.3	2	< 0.1%
13.1	1	< 0.1%
13	1	< 0.1%
12.4	2	< 0.1%
12.3	2	< 0.1%
12.2	2	< 0.1%

sodium
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	41
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	131.9389393

Minimum	0
Maximum	161
Zeros	1918
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	138
median	139
Q3	141
95-th percentile	143
Maximum	161
Range	161
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	31.26932909
Coefficient of variation (CV)	0.2369984878
Kurtosis	13.7746747
Mean	131.9389393
Median Absolute Deviation (MAD)	2
Skewness	-3.957921588
Sum	4783974
Variance	977.7709419
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
139	6360	17.5%
140	6191	17.1%
138	5065	14.0%
141	4727	13.0%
137	3190	8.8%
142	2823	7.8%
0	1918	5.3%
136	1734	4.8%
143	1420	3.9%
135	855	2.4%
Other values (31)	1976	5.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1918	5.3%
99	1	< 0.1%
107	1	< 0.1%
114	1	< 0.1%
117	1	< 0.1%
119	2	< 0.1%
120	1	< 0.1%
121	2	< 0.1%
123	2	< 0.1%
124	6	< 0.1%

Value	Count	Frequency (%)
161	1	< 0.1%
160	2	< 0.1%
157	1	< 0.1%
154	1	< 0.1%
153	1	< 0.1%
151	4	< 0.1%
150	2	< 0.1%
149	5	< 0.1%
148	19	0.1%
147	46	0.1%

potassium
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	243
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.774180479

Minimum	0
Maximum	7.3
Zeros	1924
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3.7
median	3.92
Q3	4.2
95-th percentile	4.6
Maximum	7.3
Range	7.3
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.9553653807
Coefficient of variation (CV)	0.2531318748
Kurtosis	10.06145959
Mean	3.774180479
Median Absolute Deviation (MAD)	0.22
Skewness	-3.155975666
Sum	136848.01
Variance	0.9127230107
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	3766	10.4%
3.9	3738	10.3%
3.8	3397	9.4%
4.1	3360	9.3%
4.2	2732	7.5%
3.7	2641	7.3%
4.3	2009	5.5%
0	1924	5.3%
3.6	1850	5.1%
4.4	1395	3.8%
Other values (233)	9447	26.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1924	5.3%
2.3	1	< 0.1%
2.4	1	< 0.1%
2.5	1	< 0.1%
2.6	2	< 0.1%
2.63	1	< 0.1%
2.66	1	< 0.1%
2.7	1	< 0.1%
2.8	15	< 0.1%
2.82	1	< 0.1%

Value	Count	Frequency (%)
7.3	1	< 0.1%
6.6	1	< 0.1%
6	3	< 0.1%
5.9	4	< 0.1%
5.86	2	< 0.1%
5.8	3	< 0.1%
5.7	4	< 0.1%
5.6	10	< 0.1%
5.52	1	< 0.1%
5.51	1	< 0.1%

chloride
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	41
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	97.97426846

Minimum	0
Maximum	120
Zeros	1918
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	101
median	103
Q3	105
95-th percentile	108
Maximum	120
Range	120
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	23.3412209
Coefficient of variation (CV)	0.2382382769
Kurtosis	13.43178487
Mean	97.97426846
Median Absolute Deviation (MAD)	2
Skewness	-3.890010881
Sum	3552449
Variance	544.8125929
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
104	5061	14.0%
105	4558	12.6%
103	4534	12.5%
102	3780	10.4%
106	3559	9.8%
101	2908	8.0%
107	2398	6.6%
100	1935	5.3%
0	1918	5.3%
108	1360	3.8%
Other values (31)	4248	11.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1918	5.3%
73	1	< 0.1%
79	1	< 0.1%
82	1	< 0.1%
83	1	< 0.1%
84	2	< 0.1%
86	2	< 0.1%
87	4	< 0.1%
88	6	< 0.1%
89	6	< 0.1%

Value	Count	Frequency (%)
120	1	< 0.1%
119	2	< 0.1%
118	2	< 0.1%
117	3	< 0.1%
116	2	< 0.1%
115	5	< 0.1%
114	8	< 0.1%
113	19	0.1%
112	34	0.1%
111	109	0.3%

osmolality
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	78
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	263.7606387

Minimum	0
Maximum	323
Zeros	1923
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	275
median	278
Q3	281
95-th percentile	287
Maximum	323
Range	323
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	62.64001176
Coefficient of variation (CV)	0.2374880955
Kurtosis	13.68097084
Mean	263.7606387
Median Absolute Deviation (MAD)	3
Skewness	-3.942406539
Sum	9563697
Variance	3923.771074
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
278	2930	8.1%
277	2873	7.9%
279	2770	7.6%
280	2642	7.3%
276	2619	7.2%
281	2297	6.3%
275	2247	6.2%
282	2065	5.7%
0	1923	5.3%
274	1875	5.2%
Other values (68)	12018	33.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1923	5.3%
201	1	< 0.1%
215	1	< 0.1%
228	1	< 0.1%
235	1	< 0.1%
237	1	< 0.1%
241	1	< 0.1%
243	1	< 0.1%
244	1	< 0.1%
246	3	< 0.1%

Value	Count	Frequency (%)
323	1	< 0.1%
322	1	< 0.1%
321	1	< 0.1%
315	2	< 0.1%
314	1	< 0.1%
313	1	< 0.1%
310	1	< 0.1%
309	1	< 0.1%
308	2	< 0.1%
307	2	< 0.1%

globulin
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	62
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.769648915

Minimum	0
Maximum	7.5
Zeros	1967
Zeros (%)	5.4%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2.6
median	2.9
Q3	3.2
95-th percentile	3.7
Maximum	7.5
Range	7.5
Interquartile range (IQR)	0.6

Descriptive statistics

Standard deviation	0.7989862818
Coefficient of variation (CV)	0.2884792645
Kurtosis	5.644149082
Mean	2.769648915
Median Absolute Deviation (MAD)	0.3
Skewness	-1.921444607
Sum	100424.7
Variance	0.6383790786
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.8	3340	9.2%
2.9	3146	8.7%
2.7	3123	8.6%
3	3037	8.4%
2.6	2703	7.5%
3.1	2662	7.3%
2.5	2248	6.2%
3.2	2213	6.1%
0	1967	5.4%
3.3	1851	5.1%
Other values (52)	9969	27.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1967	5.4%
0.7	1	< 0.1%
0.8	1	< 0.1%
1	4	< 0.1%
1.2	1	< 0.1%
1.3	3	< 0.1%
1.4	2	< 0.1%
1.5	5	< 0.1%
1.6	10	< 0.1%
1.7	18	< 0.1%

Value	Count	Frequency (%)
7.5	1	< 0.1%
7.2	1	< 0.1%
7.1	1	< 0.1%
7	1	< 0.1%
6.7	1	< 0.1%
6.6	1	< 0.1%
6.5	1	< 0.1%
6.3	1	< 0.1%
6.2	3	< 0.1%
6	4	< 0.1%

trouble_sleeping_history
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	27243
1.0	9016

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	27243	75.1%
1.0	9016	24.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	27243	75.1%
1.0	9016	24.9%

Most occurring characters

Value	Count	Frequency (%)
0	63502	58.4%
.	36259	33.3%
1	9016	8.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	63502	87.6%
1	9016	12.4%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	63502	58.4%
.	36259	33.3%
1	9016	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	63502	58.4%
.	36259	33.3%
1	9016	8.3%

sleep_hours
Real number (ℝ_≥0)

Distinct	28
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.071830442

Minimum	0
Maximum	14.5
Zeros	97
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	4.5
Q1	6
median	7
Q3	8
95-th percentile	9.5
Maximum	14.5
Range	14.5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.57052537
Coefficient of variation (CV)	0.2220818758
Kurtosis	1.658298951
Mean	7.071830442
Median Absolute Deviation (MAD)	1
Skewness	-0.1881441416
Sum	256417.5
Variance	2.466549937
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
8	8941	24.7%
7	8553	23.6%
6	6868	18.9%
5	2855	7.9%
9	2503	6.9%
4	1223	3.4%
7.5	1026	2.8%
10	1005	2.8%
8.5	763	2.1%
6.5	645	1.8%
Other values (18)	1877	5.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	97	0.3%
1	15	< 0.1%
2	101	0.3%
2.5	1	< 0.1%
3	319	0.9%
3.5	31	0.1%
4	1223	3.4%
4.5	92	0.3%
5	2855	7.9%
5.5	233	0.6%

Value	Count	Frequency (%)
14.5	2	< 0.1%
14	12	< 0.1%
13.5	2	< 0.1%
13	24	0.1%
12.5	6	< 0.1%
12	228	0.6%
11.5	34	0.1%
11	282	0.8%
10.5	92	0.3%
10	1005	2.8%

vigorous_recreation
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

No	27318
Yes	8938
Missing	3

Length

Max length	7
Median length	2
Mean length	2.246918007
Min length	2

Characters and Unicode

Total characters	81471
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	Yes
5th row	Yes

Common Values

Value	Count	Frequency (%)
No	27318	75.3%
Yes	8938	24.7%
Missing	3	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	27318	75.3%
yes	8938	24.7%
missing	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
N	27318	33.5%
o	27318	33.5%
s	8944	11.0%
Y	8938	11.0%
e	8938	11.0%
i	6	< 0.1%
M	3	< 0.1%
n	3	< 0.1%
g	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	45212	55.5%
Uppercase Letter	36259	44.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	27318	60.4%
s	8944	19.8%
e	8938	19.8%
i	6	< 0.1%
n	3	< 0.1%
g	3	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
N	27318	75.3%
Y	8938	24.7%
M	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	81471	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	27318	33.5%
o	27318	33.5%
s	8944	11.0%
Y	8938	11.0%
e	8938	11.0%
i	6	< 0.1%
M	3	< 0.1%
n	3	< 0.1%
g	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	81471	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	27318	33.5%
o	27318	33.5%
s	8944	11.0%
Y	8938	11.0%
e	8938	11.0%
i	6	< 0.1%
M	3	< 0.1%
n	3	< 0.1%
g	3	< 0.1%

moderate_recreation
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

No	20917
Yes	15336
Missing	6

Length

Max length	7
Median length	2
Mean length	2.42378444
Min length	2

Characters and Unicode

Total characters	87884
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	Yes
3rd row	Yes
4th row	Yes
5th row	No

Common Values

Value	Count	Frequency (%)
No	20917	57.7%
Yes	15336	42.3%
Missing	6	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	20917	57.7%
yes	15336	42.3%
missing	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
N	20917	23.8%
o	20917	23.8%
s	15348	17.5%
Y	15336	17.5%
e	15336	17.5%
i	12	< 0.1%
M	6	< 0.1%
n	6	< 0.1%
g	6	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	51625	58.7%
Uppercase Letter	36259	41.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	20917	40.5%
s	15348	29.7%
e	15336	29.7%
i	12	< 0.1%
n	6	< 0.1%
g	6	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
N	20917	57.7%
Y	15336	42.3%
M	6	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	87884	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	20917	23.8%
o	20917	23.8%
s	15348	17.5%
Y	15336	17.5%
e	15336	17.5%
i	12	< 0.1%
M	6	< 0.1%
n	6	< 0.1%
g	6	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	87884	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	20917	23.8%
o	20917	23.8%
s	15348	17.5%
Y	15336	17.5%
e	15336	17.5%
i	12	< 0.1%
M	6	< 0.1%
n	6	< 0.1%
g	6	< 0.1%

sedentary_time
Real number (ℝ_≥0)

Distinct	67
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	330.8408119

Minimum	0
Maximum	1320
Zeros	224
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	60
Q1	180
median	300
Q3	480
95-th percentile	720
Maximum	1320
Range	1320
Interquartile range (IQR)	300

Descriptive statistics

Standard deviation	201.395358
Coefficient of variation (CV)	0.6087379511
Kurtosis	0.261350137
Mean	330.8408119
Median Absolute Deviation (MAD)	120
Skewness	0.7583874284
Sum	11995957
Variance	40560.09022
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
240	4617	12.7%
180	4244	11.7%
480	4189	11.6%
300	3886	10.7%
120	3749	10.3%
360	3723	10.3%
600	2509	6.9%
60	1700	4.7%
420	1492	4.1%
720	1458	4.0%
Other values (57)	4692	12.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	224	0.6%
1	12	< 0.1%
2	10	< 0.1%
3	8	< 0.1%
4	4	< 0.1%
5	9	< 0.1%
6	5	< 0.1%
7	2	< 0.1%
8	7	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
1320	2	< 0.1%
1200	13	< 0.1%
1140	4	< 0.1%
1080	54	0.1%
1020	26	0.1%
960	154	0.4%
900	206	0.6%
840	324	0.9%
780	186	0.5%
720	1458	4.0%

vigorous_work
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	29647
1.0	6612

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	29647	81.8%
1.0	6612	18.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	29647	81.8%
1.0	6612	18.2%

Most occurring characters

Value	Count	Frequency (%)
0	65906	60.6%
.	36259	33.3%
1	6612	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	65906	90.9%
1	6612	9.1%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	65906	60.6%
.	36259	33.3%
1	6612	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	65906	60.6%
.	36259	33.3%
1	6612	6.1%

moderate_work
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	23690
1.0	12569

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	23690	65.3%
1.0	12569	34.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	23690	65.3%
1.0	12569	34.7%

Most occurring characters

Value	Count	Frequency (%)
0	59949	55.1%
.	36259	33.3%
1	12569	11.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	59949	82.7%
1	12569	17.3%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	59949	55.1%
.	36259	33.3%
1	12569	11.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	59949	55.1%
.	36259	33.3%
1	12569	11.6%

drinks_per_occasion
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	32
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.597975675

Minimum	0
Maximum	83
Zeros	15602
Zeros (%)	43.0%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	6
Maximum	83
Range	83
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.489864121
Coefficient of variation (CV)	1.558136434
Kurtosis	98.0071488
Mean	1.597975675
Median Absolute Deviation (MAD)	1
Skewness	5.520727857
Sum	57941
Variance	6.199423339
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
0	15602	43.0%
1	7235	20.0%
2	5696	15.7%
3	2960	8.2%
4	1560	4.3%
6	1060	2.9%
5	906	2.5%
12	294	0.8%
8	285	0.8%
10	227	0.6%
Other values (22)	434	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15602	43.0%
1	7235	20.0%
2	5696	15.7%
3	2960	8.2%
4	1560	4.3%
5	906	2.5%
6	1060	2.9%
7	197	0.5%
8	285	0.8%
9	47	0.1%

Value	Count	Frequency (%)
83	1	< 0.1%
82	1	< 0.1%
66	1	< 0.1%
64	1	< 0.1%
36	1	< 0.1%
32	1	< 0.1%
30	4	< 0.1%
25	2	< 0.1%
24	13	< 0.1%
23	2	< 0.1%

lifetime_alcohol_consumption
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

Missing	23641
Yes	8009
No	4609

Length

Max length	7
Median length	7
Mean length	5.480901293
Min length	2

Characters and Unicode

Total characters	198732
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Missing
2nd row	Missing
3rd row	Missing
4th row	Missing
5th row	Missing

Common Values

Value	Count	Frequency (%)
Missing	23641	65.2%
Yes	8009	22.1%
No	4609	12.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
missing	23641	65.2%
yes	8009	22.1%
no	4609	12.7%

Most occurring characters

Value	Count	Frequency (%)
s	55291	27.8%
i	47282	23.8%
M	23641	11.9%
n	23641	11.9%
g	23641	11.9%
Y	8009	4.0%
e	8009	4.0%
N	4609	2.3%
o	4609	2.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	162473	81.8%
Uppercase Letter	36259	18.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	55291	34.0%
i	47282	29.1%
n	23641	14.6%
g	23641	14.6%
e	8009	4.9%
o	4609	2.8%

Uppercase Letter

Value	Count	Frequency (%)
M	23641	65.2%
Y	8009	22.1%
N	4609	12.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	198732	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	55291	27.8%
i	47282	23.8%
M	23641	11.9%
n	23641	11.9%
g	23641	11.9%
Y	8009	4.0%
e	8009	4.0%
N	4609	2.3%
o	4609	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	198732	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	55291	27.8%
i	47282	23.8%
M	23641	11.9%
n	23641	11.9%
g	23641	11.9%
Y	8009	4.0%
e	8009	4.0%
N	4609	2.3%
o	4609	2.3%

drinks_past_year
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	94
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.30836482

Minimum	0
Maximum	365
Zeros	15602
Zeros (%)	43.0%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	48
95-th percentile	260
Maximum	365
Range	365
Interquartile range (IQR)	48

Descriptive statistics

Standard deviation	83.99128606
Coefficient of variation (CV)	1.985217023
Kurtosis	5.997617689
Mean	42.30836482
Median Absolute Deviation (MAD)	2
Skewness	2.553895358
Sum	1534059
Variance	7054.536135
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	15602	43.0%
52	2383	6.6%
12	2281	6.3%
104	1984	5.5%
2	1556	4.3%
24	1537	4.2%
156	1115	3.1%
5	1002	2.8%
1	1000	2.8%
364	976	2.7%
Other values (84)	6823	18.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15602	43.0%
1	1000	2.8%
2	1556	4.3%
3	820	2.3%
4	568	1.6%
5	1002	2.8%
6	477	1.3%
7	132	0.4%
8	102	0.3%
9	313	0.9%

Value	Count	Frequency (%)
365	151	0.4%
364	976	2.7%
360	9	< 0.1%
350	4	< 0.1%
348	1	< 0.1%
340	1	< 0.1%
336	2	< 0.1%
334	1	< 0.1%
330	2	< 0.1%
324	1	< 0.1%

cant_work
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	31342
1.0	4917

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	31342	86.4%
1.0	4917	13.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	31342	86.4%
1.0	4917	13.6%

Most occurring characters

Value	Count	Frequency (%)
0	67601	62.1%
.	36259	33.3%
1	4917	4.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	67601	93.2%
1	4917	6.8%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	67601	62.1%
.	36259	33.3%
1	4917	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	67601	62.1%
.	36259	33.3%
1	4917	4.5%

limited_work
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	28893
1.0	7366

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	28893	79.7%
1.0	7366	20.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	28893	79.7%
1.0	7366	20.3%

Most occurring characters

Value	Count	Frequency (%)
0	65152	59.9%
.	36259	33.3%
1	7366	6.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	65152	89.8%
1	7366	10.2%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	65152	59.9%
.	36259	33.3%
1	7366	6.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	65152	59.9%
.	36259	33.3%
1	7366	6.8%

walking_equipment
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	32829
1.0	3430

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	32829	90.5%
1.0	3430	9.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	32829	90.5%
1.0	3430	9.5%

Most occurring characters

Value	Count	Frequency (%)
0	69088	63.5%
.	36259	33.3%
1	3430	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	69088	95.3%
1	3430	4.7%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	69088	63.5%
.	36259	33.3%
1	3430	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	69088	63.5%
.	36259	33.3%
1	3430	3.2%

memory_problems
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	33523
1.0	2736

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	33523	92.5%
1.0	2736	7.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	33523	92.5%
1.0	2736	7.5%

Most occurring characters

Value	Count	Frequency (%)
0	69782	64.2%
.	36259	33.3%
1	2736	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	69782	96.2%
1	2736	3.8%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	69782	64.2%
.	36259	33.3%
1	2736	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	69782	64.2%
.	36259	33.3%
1	2736	2.5%

limitations
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	35540
1.0	719

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	35540	98.0%
1.0	719	2.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	35540	98.0%
1.0	719	2.0%

Most occurring characters

Value	Count	Frequency (%)
0	71799	66.0%
.	36259	33.3%
1	719	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71799	99.0%
1	719	1.0%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71799	66.0%
.	36259	33.3%
1	719	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71799	66.0%
.	36259	33.3%
1	719	0.7%

healthcare_equipment
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	33078
1.0	3181

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	33078	91.2%
1.0	3181	8.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	33078	91.2%
1.0	3181	8.8%

Most occurring characters

Value	Count	Frequency (%)
0	69337	63.7%
.	36259	33.3%
1	3181	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	69337	95.6%
1	3181	4.4%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	69337	63.7%
.	36259	33.3%
1	3181	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	69337	63.7%
.	36259	33.3%
1	3181	2.9%

health_problem_Other Impairment
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	33573
1.0	2686

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	33573	92.6%
1.0	2686	7.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	33573	92.6%
1.0	2686	7.4%

Most occurring characters

Value	Count	Frequency (%)
0	69832	64.2%
.	36259	33.3%
1	2686	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	69832	96.3%
1	2686	3.7%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	69832	64.2%
.	36259	33.3%
1	2686	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	69832	64.2%
.	36259	33.3%
1	2686	2.5%

health_problem_Bone or Joint
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	34034
1.0	2225

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	34034	93.9%
1.0	2225	6.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	34034	93.9%
1.0	2225	6.1%

Most occurring characters

Value	Count	Frequency (%)
0	70293	64.6%
.	36259	33.3%
1	2225	2.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	70293	96.9%
1	2225	3.1%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	70293	64.6%
.	36259	33.3%
1	2225	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	70293	64.6%
.	36259	33.3%
1	2225	2.0%

health_problem_Weight
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	35067
1.0	1192

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	35067	96.7%
1.0	1192	3.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	35067	96.7%
1.0	1192	3.3%

Most occurring characters

Value	Count	Frequency (%)
0	71326	65.6%
.	36259	33.3%
1	1192	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71326	98.4%
1	1192	1.6%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71326	65.6%
.	36259	33.3%
1	1192	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71326	65.6%
.	36259	33.3%
1	1192	1.1%

health_problem_Back or Neck
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	31569
1.0	4690

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	31569	87.1%
1.0	4690	12.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	31569	87.1%
1.0	4690	12.9%

Most occurring characters

Value	Count	Frequency (%)
0	67828	62.4%
.	36259	33.3%
1	4690	4.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	67828	93.5%
1	4690	6.5%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	67828	62.4%
.	36259	33.3%
1	4690	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	67828	62.4%
.	36259	33.3%
1	4690	4.3%

health_problem_Arthritis
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	31324
1.0	4935

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	31324	86.4%
1.0	4935	13.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	31324	86.4%
1.0	4935	13.6%

Most occurring characters

Value	Count	Frequency (%)
0	67583	62.1%
.	36259	33.3%
1	4935	4.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	67583	93.2%
1	4935	6.8%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	67583	62.1%
.	36259	33.3%
1	4935	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	67583	62.1%
.	36259	33.3%
1	4935	4.5%

health_problem_Cancer
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	35908
1.0	351

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	35908	99.0%
1.0	351	1.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	35908	99.0%
1.0	351	1.0%

Most occurring characters

Value	Count	Frequency (%)
0	72167	66.3%
.	36259	33.3%
1	351	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	72167	99.5%
1	351	0.5%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	72167	66.3%
.	36259	33.3%
1	351	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	72167	66.3%
.	36259	33.3%
1	351	0.3%

health_problem_Other Injury
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	35779
1.0	480

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	35779	98.7%
1.0	480	1.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	35779	98.7%
1.0	480	1.3%

Most occurring characters

Value	Count	Frequency (%)
0	72038	66.2%
.	36259	33.3%
1	480	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	72038	99.3%
1	480	0.7%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	72038	66.2%
.	36259	33.3%
1	480	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	72038	66.2%
.	36259	33.3%
1	480	0.4%

health_problem_Breathing
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	34962
1.0	1297

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	34962	96.4%
1.0	1297	3.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	34962	96.4%
1.0	1297	3.6%

Most occurring characters

Value	Count	Frequency (%)
0	71221	65.5%
.	36259	33.3%
1	1297	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71221	98.2%
1	1297	1.8%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71221	65.5%
.	36259	33.3%
1	1297	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71221	65.5%
.	36259	33.3%
1	1297	1.2%

health_problem_Stroke
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	35827
1.0	432

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	35827	98.8%
1.0	432	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	35827	98.8%
1.0	432	1.2%

Most occurring characters

Value	Count	Frequency (%)
0	72086	66.3%
.	36259	33.3%
1	432	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	72086	99.4%
1	432	0.6%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	72086	66.3%
.	36259	33.3%
1	432	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	72086	66.3%
.	36259	33.3%
1	432	0.4%

health_problem_Blood Pressure
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	34057
1.0	2202

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	34057	93.9%
1.0	2202	6.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	34057	93.9%
1.0	2202	6.1%

Most occurring characters

Value	Count	Frequency (%)
0	70316	64.6%
.	36259	33.3%
1	2202	2.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	70316	97.0%
1	2202	3.0%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	70316	64.6%
.	36259	33.3%
1	2202	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	70316	64.6%
.	36259	33.3%
1	2202	2.0%

health_problem_Mental Retardation
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	36203
1.0	56

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	36203	99.8%
1.0	56	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	36203	99.8%
1.0	56	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	72462	66.6%
.	36259	33.3%
1	56	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	72462	99.9%
1	56	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	72462	66.6%
.	36259	33.3%
1	56	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	72462	66.6%
.	36259	33.3%
1	56	0.1%

health_problem_Hearing
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	35244
1.0	1015

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	35244	97.2%
1.0	1015	2.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	35244	97.2%
1.0	1015	2.8%

Most occurring characters

Value	Count	Frequency (%)
0	71503	65.7%
.	36259	33.3%
1	1015	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71503	98.6%
1	1015	1.4%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71503	65.7%
.	36259	33.3%
1	1015	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71503	65.7%
.	36259	33.3%
1	1015	0.9%

health_problem_Heart
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	34923
1.0	1336

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	34923	96.3%
1.0	1336	3.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	34923	96.3%
1.0	1336	3.7%

Most occurring characters

Value	Count	Frequency (%)
0	71182	65.4%
.	36259	33.3%
1	1336	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71182	98.2%
1	1336	1.8%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71182	65.4%
.	36259	33.3%
1	1336	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71182	65.4%
.	36259	33.3%
1	1336	1.2%

health_problem_Vision
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	34976
1.0	1283

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	34976	96.5%
1.0	1283	3.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	34976	96.5%
1.0	1283	3.5%

Most occurring characters

Value	Count	Frequency (%)
0	71235	65.5%
.	36259	33.3%
1	1283	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71235	98.2%
1	1283	1.8%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71235	65.5%
.	36259	33.3%
1	1283	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71235	65.5%
.	36259	33.3%
1	1283	1.2%

health_problem_Diabetes
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	34672
1.0	1587

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	34672	95.6%
1.0	1587	4.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	34672	95.6%
1.0	1587	4.4%

Most occurring characters

Value	Count	Frequency (%)
0	70931	65.2%
.	36259	33.3%
1	1587	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	70931	97.8%
1	1587	2.2%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	70931	65.2%
.	36259	33.3%
1	1587	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	70931	65.2%
.	36259	33.3%
1	1587	1.5%

health_problem_Birth Defect
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	36162
1.0	97

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	36162	99.7%
1.0	97	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	36162	99.7%
1.0	97	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	72421	66.6%
.	36259	33.3%
1	97	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	72421	99.9%
1	97	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	72421	66.6%
.	36259	33.3%
1	97	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	72421	66.6%
.	36259	33.3%
1	97	0.1%

health_problem_Senility
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	36187
1.0	72

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	36187	99.8%
1.0	72	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	36187	99.8%
1.0	72	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	72446	66.6%
.	36259	33.3%
1	72	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	72446	99.9%
1	72	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	72446	66.6%
.	36259	33.3%
1	72	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	72446	66.6%
.	36259	33.3%
1	72	0.1%

health_problem_Other Developmental
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	36197
1.0	62

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	36197	99.8%
1.0	62	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	36197	99.8%
1.0	62	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	72456	66.6%
.	36259	33.3%
1	62	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	72456	99.9%
1	62	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	72456	66.6%
.	36259	33.3%
1	62	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	72456	66.6%
.	36259	33.3%
1	62	0.1%

marijuana_use
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	23685
1.0	12574

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	23685	65.3%
1.0	12574	34.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	23685	65.3%
1.0	12574	34.7%

Most occurring characters

Value	Count	Frequency (%)
0	59944	55.1%
.	36259	33.3%
1	12574	11.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	59944	82.7%
1	12574	17.3%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	59944	55.1%
.	36259	33.3%
1	12574	11.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	59944	55.1%
.	36259	33.3%
1	12574	11.6%

marijuana_per_month
Real number (ℝ_≥0)

ZEROS

Distinct	33
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.230260073

Minimum	0
Maximum	99
Zeros	32756
Zeros (%)	90.3%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	7
Maximum	99
Range	99
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	5.286753676
Coefficient of variation (CV)	4.297265099
Kurtosis	34.38896561
Mean	1.230260073
Median Absolute Deviation (MAD)	0
Skewness	5.225379535
Sum	44608
Variance	27.94976443
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
0	32756	90.3%
1	721	2.0%
30	668	1.8%
2	334	0.9%
5	221	0.6%
3	208	0.6%
20	179	0.5%
15	167	0.5%
25	155	0.4%
10	150	0.4%
Other values (23)	700	1.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	32756	90.3%
1	721	2.0%
2	334	0.9%
3	208	0.6%
4	129	0.4%
5	221	0.6%
6	76	0.2%
7	67	0.2%
8	57	0.2%
9	28	0.1%

Value	Count	Frequency (%)
99	4	< 0.1%
77	2	< 0.1%
30	668	1.8%
29	32	0.1%
28	72	0.2%
27	24	0.1%
26	9	< 0.1%
25	155	0.4%
24	27	0.1%
23	16	< 0.1%

cocaine_use
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	31707
1.0	4552

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	31707	87.4%
1.0	4552	12.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	31707	87.4%
1.0	4552	12.6%

Most occurring characters

Value	Count	Frequency (%)
0	67966	62.5%
.	36259	33.3%
1	4552	4.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	67966	93.7%
1	4552	6.3%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	67966	62.5%
.	36259	33.3%
1	4552	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	67966	62.5%
.	36259	33.3%
1	4552	4.2%

cocaine_number_uses
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3825257178

Minimum	0
Maximum	6
Zeros	32310
Zeros (%)	89.1%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	4
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.21669451
Coefficient of variation (CV)	3.180686825
Kurtosis	10.51949927
Mean	0.3825257178
Median Absolute Deviation (MAD)	0
Skewness	3.353342361
Sum	13870
Variance	1.480345532
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	32310	89.1%
2	956	2.6%
3	782	2.2%
6	719	2.0%
4	698	1.9%
5	428	1.2%
1	366	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	32310	89.1%
1	366	1.0%
2	956	2.6%
3	782	2.2%
4	698	1.9%
5	428	1.2%
6	719	2.0%

Value	Count	Frequency (%)
6	719	2.0%
5	428	1.2%
4	698	1.9%
3	782	2.2%
2	956	2.6%
1	366	1.0%
0	32310	89.1%

cocaine_per_month
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	23
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.05822002813

Minimum	0
Maximum	99
Zeros	35837
Zeros (%)	98.8%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	99
Range	99
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.111968813
Coefficient of variation (CV)	19.09942074
Kurtosis	3706.928854
Mean	0.05822002813
Median Absolute Deviation (MAD)	0
Skewness	49.82114522
Sum	2111
Variance	1.236474641
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
0	35837	98.8%
1	159	0.4%
2	76	0.2%
3	45	0.1%
5	38	0.1%
4	21	0.1%
6	11	< 0.1%
10	11	< 0.1%
30	11	< 0.1%
8	9	< 0.1%
Other values (13)	41	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	35837	98.8%
1	159	0.4%
2	76	0.2%
3	45	0.1%
4	21	0.1%
5	38	0.1%
6	11	< 0.1%
7	6	< 0.1%
8	9	< 0.1%
9	4	< 0.1%

Value	Count	Frequency (%)
99	2	< 0.1%
30	11	< 0.1%
29	1	< 0.1%
28	1	< 0.1%
25	2	< 0.1%
24	3	< 0.1%
20	7	< 0.1%
18	1	< 0.1%
16	1	< 0.1%
15	9	< 0.1%

heroine_use
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	35567
1.0	692

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	35567	98.1%
1.0	692	1.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	35567	98.1%
1.0	692	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	71826	66.0%
.	36259	33.3%
1	692	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71826	99.0%
1	692	1.0%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71826	66.0%
.	36259	33.3%
1	692	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71826	66.0%
.	36259	33.3%
1	692	0.6%

heronine_per_month
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.02051904355

Minimum	0
Maximum	30
Zeros	36200
Zeros (%)	99.8%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	30
Range	30
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.6881248023
Coefficient of variation (CV)	33.53591023
Kurtosis	1514.204492
Mean	0.02051904355
Median Absolute Deviation (MAD)	0
Skewness	38.06270681
Sum	744
Variance	0.4735157436
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
0	36200	99.8%
1	16	< 0.1%
30	11	< 0.1%
20	6	< 0.1%
10	4	< 0.1%
3	3	< 0.1%
4	3	< 0.1%
2	3	< 0.1%
25	3	< 0.1%
15	2	< 0.1%
Other values (5)	8	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	36200	99.8%
1	16	< 0.1%
2	3	< 0.1%
3	3	< 0.1%
4	3	< 0.1%
5	2	< 0.1%
6	1	< 0.1%
8	2	< 0.1%
10	4	< 0.1%
15	2	< 0.1%

Value	Count	Frequency (%)
30	11	< 0.1%
28	1	< 0.1%
25	3	< 0.1%
23	2	< 0.1%
20	6	< 0.1%
15	2	< 0.1%
10	4	< 0.1%
8	2	< 0.1%
6	1	< 0.1%
5	2	< 0.1%

meth_use
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	34468
1.0	1791

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	34468	95.1%
1.0	1791	4.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	34468	95.1%
1.0	1791	4.9%

Most occurring characters

Value	Count	Frequency (%)
0	70727	65.0%
.	36259	33.3%
1	1791	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	70727	97.5%
1	1791	2.5%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	70727	65.0%
.	36259	33.3%
1	1791	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	70727	65.0%
.	36259	33.3%
1	1791	1.6%

meth_number_uses
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1612289363

Minimum	0
Maximum	6
Zeros	34660
Zeros (%)	95.6%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8291908009
Coefficient of variation (CV)	5.142940344
Kurtosis	32.07996574
Mean	0.1612289363
Median Absolute Deviation (MAD)	0
Skewness	5.615153711
Sum	5846
Variance	0.6875573843
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	34660	95.6%
6	376	1.0%
2	341	0.9%
3	326	0.9%
4	254	0.7%
5	153	0.4%
1	149	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	34660	95.6%
1	149	0.4%
2	341	0.9%
3	326	0.9%
4	254	0.7%
5	153	0.4%
6	376	1.0%

Value	Count	Frequency (%)
6	376	1.0%
5	153	0.4%
4	254	0.7%
3	326	0.9%
2	341	0.9%
1	149	0.4%
0	34660	95.6%

meth_per_month
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	20
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.02986844645

Minimum	0
Maximum	30
Zeros	36111
Zeros (%)	99.6%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	30
Range	30
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.7163614399
Coefficient of variation (CV)	23.98388684
Kurtosis	1116.515116
Mean	0.02986844645
Median Absolute Deviation (MAD)	0
Skewness	31.76947474
Sum	1083
Variance	0.5131737126
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
0	36111	99.6%
1	42	0.1%
2	24	0.1%
5	19	0.1%
3	11	< 0.1%
20	9	< 0.1%
15	8	< 0.1%
30	7	< 0.1%
10	7	< 0.1%
4	4	< 0.1%
Other values (10)	17	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	36111	99.6%
1	42	0.1%
2	24	0.1%
3	11	< 0.1%
4	4	< 0.1%
5	19	0.1%
6	2	< 0.1%
7	3	< 0.1%
8	1	< 0.1%
10	7	< 0.1%

Value	Count	Frequency (%)
30	7	< 0.1%
28	1	< 0.1%
27	2	< 0.1%
25	2	< 0.1%
24	1	< 0.1%
22	1	< 0.1%
20	9	< 0.1%
15	8	< 0.1%
14	1	< 0.1%
12	3	< 0.1%

inject_drugs
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	35602
1.0	657

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	35602	98.2%
1.0	657	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	35602	98.2%
1.0	657	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	71861	66.1%
.	36259	33.3%
1	657	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71861	99.1%
1	657	0.9%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71861	66.1%
.	36259	33.3%
1	657	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71861	66.1%
.	36259	33.3%
1	657	0.6%

rehab_program
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0.0	34987
1.0	1272

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	108777
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	34987	96.5%
1.0	1272	3.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	34987	96.5%
1.0	1272	3.5%

Most occurring characters

Value	Count	Frequency (%)
0	71246	65.5%
.	36259	33.3%
1	1272	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	72518	66.7%
Other Punctuation	36259	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71246	98.2%
1	1272	1.8%

Other Punctuation

Value	Count	Frequency (%)
.	36259	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108777	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71246	65.5%
.	36259	33.3%
1	1272	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108777	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71246	65.5%
.	36259	33.3%
1	1272	1.2%

start_smoking_age
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	62
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.379767782

Minimum	0
Maximum	76
Zeros	21426
Zeros (%)	59.1%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	16
95-th percentile	23
Maximum	76
Range	76
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	9.524207869
Coefficient of variation (CV)	1.290583681
Kurtosis	0.3638056222
Mean	7.379767782
Median Absolute Deviation (MAD)	0
Skewness	0.9326817447
Sum	267583
Variance	90.71053554
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	21426	59.1%
18	2223	6.1%
16	1873	5.2%
17	1500	4.1%
15	1496	4.1%
20	1048	2.9%
14	1028	2.8%
19	941	2.6%
13	778	2.1%
21	611	1.7%
Other values (52)	3335	9.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	21426	59.1%
6	2	< 0.1%
7	72	0.2%
8	70	0.2%
9	109	0.3%
10	156	0.4%
11	151	0.4%
12	515	1.4%
13	778	2.1%
14	1028	2.8%

Value	Count	Frequency (%)
76	1	< 0.1%
74	1	< 0.1%
72	2	< 0.1%
71	1	< 0.1%
68	1	< 0.1%
65	1	< 0.1%
64	1	< 0.1%
63	1	< 0.1%
59	1	< 0.1%
58	5	< 0.1%

current_smoker
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

0	20789
1	8359
3	5780
2	1331

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36259
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	20789	57.3%
1	8359	23.1%
3	5780	15.9%
2	1331	3.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	20789	57.3%
1	8359	23.1%
3	5780	15.9%
2	1331	3.7%

Most occurring characters

Value	Count	Frequency (%)
0	20789	57.3%
1	8359	23.1%
3	5780	15.9%
2	1331	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36259	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	20789	57.3%
1	8359	23.1%
3	5780	15.9%
2	1331	3.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	36259	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	20789	57.3%
1	8359	23.1%
3	5780	15.9%
2	1331	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36259	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	20789	57.3%
1	8359	23.1%
3	5780	15.9%
2	1331	3.7%

previous_cigarettes_per_day
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	55
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.48793403

Minimum	0
Maximum	95
Zeros	28368
Zeros (%)	78.2%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	20
Maximum	95
Range	95
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	9.731543943
Coefficient of variation (CV)	2.790059634
Kurtosis	21.31834141
Mean	3.48793403
Median Absolute Deviation (MAD)	0
Skewness	4.068214845
Sum	126469
Variance	94.70294752
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	28368	78.2%
20	1967	5.4%
10	1138	3.1%
1	766	2.1%
40	555	1.5%
5	511	1.4%
3	489	1.3%
30	423	1.2%
2	412	1.1%
4	322	0.9%
Other values (45)	1308	3.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	28368	78.2%
1	766	2.1%
2	412	1.1%
3	489	1.3%
4	322	0.9%
5	511	1.4%
6	238	0.7%
7	107	0.3%
8	108	0.3%
9	14	< 0.1%

Value	Count	Frequency (%)
95	36	0.1%
90	7	< 0.1%
80	34	0.1%
75	3	< 0.1%
70	8	< 0.1%
68	1	< 0.1%
65	2	< 0.1%
60	178	0.5%
55	3	< 0.1%
53	1	< 0.1%

current_cigarettes_per_day
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	40
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.425770154

Minimum	0
Maximum	95
Zeros	28822
Zeros (%)	79.5%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	20
Maximum	95
Range	95
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	6.64172404
Coefficient of variation (CV)	2.73798572
Kurtosis	27.23411923
Mean	2.425770154
Median Absolute Deviation (MAD)	0
Skewness	4.177692827
Sum	87956
Variance	44.11249822
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
0	28822	79.5%
20	1421	3.9%
10	1308	3.6%
1	633	1.7%
5	567	1.6%
15	472	1.3%
3	471	1.3%
2	466	1.3%
4	379	1.0%
6	310	0.9%
Other values (30)	1410	3.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	28822	79.5%
1	633	1.7%
2	466	1.3%
3	471	1.3%
4	379	1.0%
5	567	1.6%
6	310	0.9%
7	212	0.6%
8	200	0.6%
9	36	0.1%

Value	Count	Frequency (%)
95	12	< 0.1%
90	3	< 0.1%
80	1	< 0.1%
70	1	< 0.1%
60	18	< 0.1%
50	13	< 0.1%
48	1	< 0.1%
45	5	< 0.1%
43	1	< 0.1%
40	180	0.5%

days_quit_smoking
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	144
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1544.790838

Minimum	0
Maximum	26280
Zeros	27934
Zeros (%)	77.0%
Negative	0
Negative (%)	0.0%
Memory size	283.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	10950
Maximum	26280
Range	26280
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	3828.916153
Coefficient of variation (CV)	2.478598435
Kurtosis	7.161980489
Mean	1544.790838
Median Absolute Deviation (MAD)	0
Skewness	2.758623846
Sum	56012571
Variance	14660598.91
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	27934	77.0%
7300	518	1.4%
10950	472	1.3%
3650	431	1.2%
5475	406	1.1%
9125	324	0.9%
1825	312	0.9%
14600	300	0.8%
730	286	0.8%
1095	284	0.8%
Other values (134)	4992	13.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	27934	77.0%
1	9	< 0.1%
2	7	< 0.1%
3	5	< 0.1%
4	7	< 0.1%
5	3	< 0.1%
6	1	< 0.1%
7	31	0.1%
8	1	< 0.1%
10	3	< 0.1%

Value	Count	Frequency (%)
26280	1	< 0.1%
25915	1	< 0.1%
25550	1	< 0.1%
24455	1	< 0.1%
24090	5	< 0.1%
23725	5	< 0.1%
22995	2	< 0.1%
22630	2	< 0.1%
22265	1	< 0.1%
21900	20	0.1%

household_smokers
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	283.4 KiB

4	17592
0	10780
1	4721
2	2452
3	714

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36259
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	4
4th row	1
5th row	4

Common Values

Value	Count	Frequency (%)
4	17592	48.5%
0	10780	29.7%
1	4721	13.0%
2	2452	6.8%
3	714	2.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
4	17592	48.5%
0	10780	29.7%
1	4721	13.0%
2	2452	6.8%
3	714	2.0%

Most occurring characters

Value	Count	Frequency (%)
4	17592	48.5%
0	10780	29.7%
1	4721	13.0%
2	2452	6.8%
3	714	2.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36259	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	17592	48.5%
0	10780	29.7%
1	4721	13.0%
2	2452	6.8%
3	714	2.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	36259	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	17592	48.5%
0	10780	29.7%
1	4721	13.0%
2	2452	6.8%
3	714	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36259	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	17592	48.5%
0	10780	29.7%
1	4721	13.0%
2	2452	6.8%
3	714	2.0%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	SEQN	depression	gender	age	race	citizenship	education_level	marital_status	household_size	pregnant	birth_place	veteran	household_income	asthma	asthma_onset	asthma_currently	ever_overweight	blood_transfusion	arthritis	heart_failure	stroke	bronchitis	thyroid_problem	bronchitis_currently	thyroid_problem_currently	cancer	first_cancer_type	second_cancer_type	third_cancer_type	heart_attack_relative	asthma_relative	diabetes_relative	arthritis_onset	heart_failure_onset	thyroid_problem_onset	arthritis_type	first_cancer_count	weight	height	BMI	pulse	irregular_pulse	systolic	diastolic	albumin	ALT	AST	ALP	BUN	calcium	CO2	creatinine	GGT	glucose	iron	LHD	phosphorus	bilirubin	total_protein	uric_acid	sodium	potassium	chloride	osmolality	globulin	trouble_sleeping_history	sleep_hours	vigorous_recreation	moderate_recreation	sedentary_time	vigorous_work	moderate_work	lifetime_alcohol_consumption	limited_work	memory_problems	health_problem_Other Impairment	health_problem_Bone or Joint	health_problem_Weight	start_smoking_age	current_smoker	previous_cigarettes_per_day	current_cigarettes_per_day	days_quit_smoking	household_smokers
0	31131	Not Depressed	1	44	Black	Citizen	4	Married	4	No	USA	No	11	0.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	None	None	None	1.0	0.0	1.0	0.0	42.0	0.0	Missing	0.0	75.2	156.0	30.90	58.0	0.0	144.0	74.0	3.5	14.0	16.0	74.0	6.0	8.9	23.0	0.8	17.0	87.0	51.0	105.0	3.4	0.4	6.9	4.9	137.0	4.1	106.0	271.0	3.4	0.0	9.0	No	No	150.0	0.0	0.0	Missing	0.0	0.0	0.0	0.0	0.0	0	0	0	0	0	4
1	31132	Not Depressed	0	70	White	Citizen	5	Married	2	Missing	USA	Yes	11	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0	None	None	None	0.0	0.0	0.0	0.0	0.0	63.0	Missing	0.0	69.5	167.6	24.74	62.0	0.0	138.0	60.0	5.0	31.0	29.0	48.0	25.0	9.9	29.0	1.2	22.0	155.0	89.0	165.0	3.4	1.0	7.2	7.2	140.0	3.8	102.0	287.0	2.2	0.0	7.0	No	Yes	150.0	0.0	0.0	Missing	0.0	0.0	0.0	0.0	0.0	0	0	0	0	0	4
2	31134	Not Depressed	0	73	White	Citizen	3	Married	2	Missing	USA	Yes	5	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	None	None	None	0.0	0.0	0.0	0.0	0.0	0.0	Missing	0.0	101.9	182.4	30.63	50.0	0.0	130.0	68.0	3.9	30.0	31.0	77.0	13.0	9.5	27.0	1.2	33.0	93.0	84.0	158.0	3.3	0.5	7.1	7.5	139.0	4.1	103.0	277.0	3.2	1.0	7.0	No	Yes	90.0	0.0	1.0	Missing	0.0	0.0	0.0	0.0	0.0	0	0	0	0	0	4
3	31139	Not Depressed	1	18	Other Hispanic	Citizen	0	Never Married	3	No	USA	No	11	1.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	None	None	None	0.0	0.0	0.0	0.0	0.0	0.0	Missing	0.0	73.9	158.4	29.45	68.0	0.0	110.0	64.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	6.0	Yes	Yes	120.0	0.0	0.0	Missing	0.0	0.0	0.0	0.0	0.0	0	0	0	0	0	1
4	31143	Not Depressed	0	19	White	Citizen	0	Never Married	3	Missing	USA	No	11	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	None	None	None	0.0	0.0	0.0	0.0	0.0	0.0	Missing	0.0	76.4	184.0	22.57	68.0	0.0	108.0	62.0	4.7	22.0	23.0	47.0	12.0	10.2	28.0	0.8	13.0	76.0	158.0	93.0	4.5	1.0	7.2	4.3	143.0	4.1	104.0	283.0	2.5	0.0	7.0	Yes	No	360.0	0.0	0.0	Missing	0.0	0.0	0.0	0.0	0.0	0	0	0	2	0	4
5	31144	Not Depressed	0	21	Other Hispanic	Citizen	3	Never Married	6	Missing	USA	No	3	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	None	None	None	0.0	1.0	1.0	0.0	0.0	0.0	Missing	0.0	69.9	167.1	25.03	54.0	0.0	116.0	74.0	4.1	15.0	18.0	183.0	9.0	10.3	27.0	0.7	15.0	81.0	114.0	120.0	4.7	0.7	7.3	6.0	139.0	4.4	103.0	275.0	3.2	0.0	8.0	Yes	Yes	180.0	0.0	0.0	Missing	0.0	0.0	0.0	0.0	0.0	0	0	0	0	0	4
6	31149	Not Depressed	1	85	White	Citizen	2	Widowed	1	Missing	USA	No	1	0.0	0.0	0.0	0.0	1.0	1.0	0.0	0.0	0.0	1.0	0.0	1.0	1.0	Colon	None	None	0.0	0.0	0.0	77.0	0.0	43.0	Osteoarthritis	1.0	51.9	154.9	21.63	64.0	0.0	110.0	0.0	3.7	19.0	28.0	50.0	19.0	9.0	23.0	1.1	12.0	92.0	76.0	153.0	4.3	0.4	6.3	5.9	140.0	3.8	105.0	281.0	2.6	0.0	8.0	No	No	300.0	0.0	0.0	Missing	0.0	0.0	0.0	0.0	0.0	0	0	0	0	0	4
7	31150	Not Depressed	0	79	White	Citizen	3	Divorced	1	Missing	USA	Yes	3	0.0	0.0	0.0	0.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	Colon	None	None	0.0	0.0	0.0	58.0	0.0	0.0	Other	1.0	85.0	171.4	28.93	66.0	0.0	144.0	74.0	4.1	23.0	28.0	67.0	10.0	9.5	23.0	0.9	16.0	94.0	142.0	150.0	3.6	1.3	7.5	4.8	139.0	4.0	103.0	276.0	3.4	0.0	8.0	Yes	Yes	90.0	1.0	0.0	Missing	0.0	0.0	0.0	0.0	0.0	14	1	20	0	13870	4
8	31151	Not Depressed	1	59	Black	Citizen	3	Married	2	No	USA	No	7	1.0	44.0	1.0	1.0	0.0	1.0	0.0	1.0	1.0	1.0	1.0	1.0	0.0	None	None	None	1.0	0.0	1.0	0.0	0.0	54.0	Rheumatoid	0.0	82.9	167.6	29.51	56.0	0.0	136.0	76.0	3.7	13.0	19.0	99.0	16.0	9.1	26.0	0.9	14.0	82.0	54.0	125.0	4.0	0.5	6.9	5.4	140.0	4.0	108.0	280.0	3.2	1.0	2.0	No	No	420.0	0.0	0.0	Missing	1.0	0.0	0.0	1.0	0.0	25	1	60	0	10585	4
9	31152	Not Depressed	1	27	Mexican	Citizen	3	Married	5	Yes	Mexico	No	7	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	None	None	None	0.0	0.0	0.0	0.0	0.0	0.0	Missing	0.0	94.1	153.6	39.88	78.0	1.0	94.0	62.0	2.8	10.0	14.0	72.0	6.0	9.1	19.0	0.6	8.0	72.0	87.0	88.0	4.3	0.3	6.4	4.2	139.0	3.7	108.0	274.0	3.6	0.0	8.0	Yes	Yes	180.0	0.0	0.0	Missing	0.0	1.0	1.0	0.0	1.0	0	0	0	0	0	4

Last rows

	SEQN	depression	gender	age	race	citizenship	education_level	marital_status	household_size	pregnant	birth_place	veteran	household_income	asthma	asthma_onset	asthma_currently	ever_overweight	blood_transfusion	arthritis	liver_condition	liver_condition_currently	cancer	first_cancer_type	second_cancer_type	third_cancer_type	asthma_relative	diabetes_relative	hay_fever	arthritis_onset	liver_condition_onset	cancer_onset	arthritis_type	first_cancer_count	weight	height	BMI	pulse	systolic	diastolic	albumin	ALT	AST	ALP	BUN	calcium	CO2	creatinine	GGT	glucose	iron	LHD	phosphorus	bilirubin	total_protein	uric_acid	sodium	potassium	chloride	osmolality	globulin	trouble_sleeping_history	sleep_hours	vigorous_recreation	moderate_recreation	sedentary_time	vigorous_work	moderate_work	drinks_per_occasion	lifetime_alcohol_consumption	drinks_past_year	cant_work	limited_work	walking_equipment	memory_problems	healthcare_equipment	health_problem_Other Impairment	health_problem_Bone or Joint	health_problem_Arthritis	marijuana_use	marijuana_per_month	cocaine_use	cocaine_number_uses	meth_use	meth_number_uses	rehab_program	start_smoking_age	current_smoker	previous_cigarettes_per_day	current_cigarettes_per_day	days_quit_smoking	household_smokers
36249	102934	Not Depressed	0	48	Black	Citizen	3	Married	3	Missing	USA	No	9	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	None	None	None	0.0	1.0	0.0	0.0	0.0	0.0	Missing	0.0	83.7	178.5	26.3	0.0	0.0	0.0	3.8	12.0	16.0	59.0	14.0	9.1	28.0	1.30	28.0	89.0	96.0	191.0	3.6	0.4	7.3	6.0	141.0	3.8	100.0	281.0	3.5	0.0	7.5	No	No	120.0	1.0	0.0	3.0	Yes	52.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	24	3	0	12	0	2
36250	102935	Depressed	1	27	White	Citizen	5	Partner	2	No	USA	No	11	1.0	15.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	None	None	None	0.0	0.0	0.0	27.0	0.0	0.0	Rheumatoid	0.0	59.5	158.9	23.6	82.0	116.0	64.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.00	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	8.0	Yes	Yes	720.0	1.0	0.0	1.0	Yes	182.0	1.0	1.0	0.0	1.0	1.0	1.0	0.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0	0	0	0	2
36251	102943	Not Depressed	1	48	Mexican	Citizen	4	Partner	6	Missing	USA	No	12	1.0	41.0	0.0	1.0	0.0	0.0	1.0	1.0	0.0	None	None	None	0.0	1.0	0.0	0.0	48.0	0.0	Missing	0.0	122.7	181.1	37.4	74.0	134.0	80.0	3.9	31.0	30.0	92.0	16.0	9.6	24.0	0.65	26.0	86.0	50.0	161.0	4.0	0.3	7.5	5.5	143.0	4.0	102.0	285.0	3.6	0.0	5.5	No	No	60.0	1.0	1.0	2.0	Yes	5.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0	0	0	0	0
36252	102944	Not Depressed	0	55	Other and Multiracial	Citizen	3	Married	4	Missing	Mexico	No	11	1.0	42.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	None	None	None	0.0	1.0	0.0	0.0	0.0	0.0	Missing	0.0	78.8	163.1	29.6	82.0	0.0	0.0	4.1	39.0	31.0	44.0	14.0	9.2	26.0	0.83	49.0	93.0	75.0	183.0	3.3	0.5	7.7	6.8	143.0	3.1	100.0	285.0	3.6	0.0	6.0	No	No	600.0	0.0	1.0	3.0	Yes	12.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0	0	0	0	0
36253	102947	Not Depressed	0	75	Black	Citizen	5	Divorced	1	Missing	USA	No	8	0.0	0.0	0.0	1.0	1.0	0.0	0.0	0.0	1.0	Prostate	None	None	0.0	0.0	0.0	0.0	0.0	68.0	Missing	1.0	73.2	170.4	25.2	60.0	160.0	82.0	4.5	22.0	26.0	64.0	25.0	9.5	24.0	1.81	26.0	77.0	85.0	469.0	3.6	0.6	7.7	6.8	142.0	4.9	104.0	286.0	3.2	0.0	7.0	No	Yes	240.0	0.0	0.0	1.0	Yes	5.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	19	1	5	0	12775	0
36254	102949	Not Depressed	0	33	White	Citizen	3	Partner	5	Missing	USA	No	6	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	None	None	None	0.0	0.0	0.0	0.0	0.0	0.0	Missing	0.0	76.9	180.1	23.7	96.0	120.0	72.0	4.5	26.0	29.0	104.0	20.0	9.2	25.0	1.05	14.0	96.0	97.0	185.0	4.5	0.3	7.3	5.4	143.0	5.3	103.0	287.0	2.8	0.0	6.5	No	No	60.0	1.0	1.0	0.0	No	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	5.0	1.0	3.0	1.0	2.0	1.0	18	3	0	20	0	2
36255	102952	Not Depressed	1	70	Other and Multiracial	Citizen	3	Married	2	Missing	Mexico	No	4	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	None	None	None	0.0	0.0	0.0	0.0	0.0	0.0	Missing	0.0	49.0	156.5	20.0	68.0	136.0	74.0	4.8	22.0	27.0	57.0	13.0	9.9	27.0	0.70	18.0	150.0	140.0	168.0	3.7	1.2	7.4	6.4	143.0	4.1	100.0	288.0	2.6	0.0	8.5	No	Yes	120.0	0.0	0.0	0.0	Yes	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0	0	0	0	0
36256	102953	Not Depressed	0	42	Mexican	Not Citizen	3	Separated	1	Missing	Mexico	No	5	1.0	42.0	1.0	1.0	0.0	0.0	1.0	0.0	0.0	None	None	None	1.0	0.0	1.0	0.0	34.0	0.0	Missing	0.0	97.4	164.9	35.8	78.0	124.0	76.0	4.0	40.0	29.0	115.0	17.0	9.0	24.0	0.92	28.0	101.0	70.0	136.0	3.5	0.6	7.5	5.8	144.0	3.8	106.0	289.0	3.5	1.0	6.0	No	No	360.0	1.0	1.0	12.0	Yes	30.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	20	1	1	0	270	0
36257	102954	Not Depressed	1	41	Black	Citizen	5	Never Married	7	No	USA	No	10	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	None	None	None	1.0	1.0	0.0	0.0	0.0	0.0	Missing	0.0	69.1	162.6	26.1	78.0	116.0	66.0	3.9	6.0	15.0	55.0	8.0	9.0	21.0	0.69	8.0	88.0	20.0	123.0	3.5	0.2	6.5	3.1	137.0	3.6	101.0	272.0	2.6	0.0	8.0	No	Yes	600.0	0.0	0.0	0.0	No	0.0	0.0	1.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0	0	0	0	0
36258	102956	Not Depressed	0	38	White	Citizen	4	Divorced	5	Missing	USA	No	7	0.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	None	None	None	0.0	0.0	0.0	27.0	0.0	0.0	Osteoarthritis	0.0	111.5	175.8	36.1	76.0	150.0	98.0	4.3	47.0	27.0	84.0	12.0	9.7	27.0	0.82	72.0	90.0	101.0	134.0	3.0	0.3	7.2	6.4	139.0	4.3	99.0	277.0	2.9	1.0	8.0	No	No	720.0	0.0	0.0	2.0	Yes	9.0	1.0	1.0	1.0	0.0	0.0	1.0	1.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	16	3	0	20	0	1

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values